Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications

The damage identification process provides relevant information about the current state of a structure under inspection, and it can be approached from two different points of view. The first approach uses data-driven algorithms, which are usually associated with the collection of data using sensors....

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Vydáno v:Sensors (Basel, Switzerland) Ročník 20; číslo 3; s. 733
Hlavní autoři: Tibaduiza Burgos, Diego A., Gomez Vargas, Ricardo C., Pedraza, Cesar, Agis, David, Pozo, Francesc
Médium: Journal Article Publikace
Jazyk:angličtina
Vydáno: Switzerland MDPI AG 29.01.2020
Multidisciplinary Digital Publishing Institute (MDPI)
MDPI
Témata:
Algorithms
Aprenentatge automàtic
Civil engineering
Damage identification
Data-driven algorithms
Detectors
Enginyeria elèctrica
Estadística matemàtica
Internet of Things
Machine learning
Matemàtiques i estadística
Mathematical statistics
Microelectromechanical systems
Review
Sensors
Structural health monitoring
Useful life
Àrees temàtiques de la UPC
structural health monitoring
sensors
data-driven algorithms
damage identification
ISSN:1424-8220, 1424-8220
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Abstract The damage identification process provides relevant information about the current state of a structure under inspection, and it can be approached from two different points of view. The first approach uses data-driven algorithms, which are usually associated with the collection of data using sensors. Data are subsequently processed and analyzed. The second approach uses models to analyze information about the structure. In the latter case, the overall performance of the approach is associated with the accuracy of the model and the information that is used to define it. Although both approaches are widely used, data-driven algorithms are preferred in most cases because they afford the ability to analyze data acquired from sensors and to provide a real-time solution for decision making; however, these approaches involve high-performance processors due to the high computational cost. As a contribution to the researchers working with data-driven algorithms and applications, this work presents a brief review of data-driven algorithms for damage identification in structural health-monitoring applications. This review covers damage detection, localization, classification, extension, and prognosis, as well as the development of smart structures. The literature is systematically reviewed according to the natural steps of a structural health-monitoring system. This review also includes information on the types of sensors used as well as on the development of data-driven algorithms for damage identification.
AbstractList The damage identification process provides relevant information about the current state of a structure under inspection, and it can be approached from two different points of view. The first approach uses data-driven algorithms, which are usually associated with the collection of data using sensors. Data are subsequently processed and analyzed. The second approach uses models to analyze information about the structure. In the latter case, the overall performance of the approach is associated with the accuracy of the model and the information that is used to define it. Although both approaches are widely used, data-driven algorithms are preferred in most cases because they afford the ability to analyze data acquired from sensors and to provide a real-time solution for decision making; however, these approaches involve high-performance processors due to the high computational cost. As a contribution to the researchers working with data-driven algorithms and applications, this work presents a brief review of data-driven algorithms for damage identification in structural health-monitoring applications. This review covers damage detection, localization, classification, extension, and prognosis, as well as the development of smart structures. The literature is systematically reviewed according to the natural steps of a structural health-monitoring system. This review also includes information on the types of sensors used as well as on the development of data-driven algorithms for damage identification.
The damage identification process provides relevant information about the current state of a structure under inspection, and it can be approached from two different points of view. The first approach uses data-driven algorithms, which are usually associated with the collection of data using sensors. Data are subsequently processed and analyzed. The second approach uses models to analyze information about the structure. In the latter case, the overall performance of the approach is associated with the accuracy of the model and the information that is used to define it. Although both approaches are widely used, data-driven algorithms are preferred in most cases because they afford the ability to analyze data acquired from sensors and to provide a real-time solution for decision making; however, these approaches involve high-performance processors due to the high computational cost. As a contribution to the researchers working with data-driven algorithms and applications, this work presents a brief review of data-driven algorithms for damage identification in structural health-monitoring applications. This review covers damage detection, localization, classification, extension, and prognosis, as well as the development of smart structures. The literature is systematically reviewed according to the natural steps of a structural health-monitoring system. This review also includes information on the types of sensors used as well as on the development of data-driven algorithms for damage identification. Peer Reviewed
The damage identification process provides relevant information about the current state of a structure under inspection, and it can be approached from two different points of view. The first approach uses data-driven algorithms, which are usually associated with the collection of data using sensors. Data are subsequently processed and analyzed. The second approach uses models to analyze information about the structure. In the latter case, the overall performance of the approach is associated with the accuracy of the model and the information that is used to define it. Although both approaches are widely used, data-driven algorithms are preferred in most cases because they afford the ability to analyze data acquired from sensors and to provide a real-time solution for decision making; however, these approaches involve high-performance processors due to the high computational cost. As a contribution to the researchers working with data-driven algorithms and applications, this work presents a brief review of data-driven algorithms for damage identification in structural health-monitoring applications. This review covers damage detection, localization, classification, extension, and prognosis, as well as the development of smart structures. The literature is systematically reviewed according to the natural steps of a structural health-monitoring system. This review also includes information on the types of sensors used as well as on the development of data-driven algorithms for damage identification.The damage identification process provides relevant information about the current state of a structure under inspection, and it can be approached from two different points of view. The first approach uses data-driven algorithms, which are usually associated with the collection of data using sensors. Data are subsequently processed and analyzed. The second approach uses models to analyze information about the structure. In the latter case, the overall performance of the approach is associated with the accuracy of the model and the information that is used to define it. Although both approaches are widely used, data-driven algorithms are preferred in most cases because they afford the ability to analyze data acquired from sensors and to provide a real-time solution for decision making; however, these approaches involve high-performance processors due to the high computational cost. As a contribution to the researchers working with data-driven algorithms and applications, this work presents a brief review of data-driven algorithms for damage identification in structural health-monitoring applications. This review covers damage detection, localization, classification, extension, and prognosis, as well as the development of smart structures. The literature is systematically reviewed according to the natural steps of a structural health-monitoring system. This review also includes information on the types of sensors used as well as on the development of data-driven algorithms for damage identification.
Author Tibaduiza Burgos, Diego A.
Pozo, Francesc
Gomez Vargas, Ricardo C.
Pedraza, Cesar
Agis, David
AuthorAffiliation 3 Departamento de Ingeniería de Sistemas e Industrial, Universidad Nacional de Colombia, Cra 45 No. 26-85, Bogotá 111321, Colombia; capedrazab@unal.edu.co
4 Control, Modeling, Identification and Applications (CoDAlab), Departament de Matemàtiques, Escola d’Enginyeria de Barcelona Est (EEBE), Universitat Politècnica de Catalunya (UPC), Campus Diagonal-Besòs (CDB), Eduard Maristany, 16, 08019 Barcelona, Spain; david.agis@upc.edu (D.A.); francesc.pozo@upc.edu (F.P.)
1 Departamento de Ingeniería Eléctrica y Electrónica, Universidad Nacional de Colombia, Cra 45 No. 26-85, Bogotá 111321, Colombia; rcgomezv@unal.edu.co
2 Escuela de Tecnologías de la información y la comunicación, Politécnico Grancolombiano Institución Universitaria, Bogotá 111321, Colombia
AuthorAffiliation_xml – name: 2 Escuela de Tecnologías de la información y la comunicación, Politécnico Grancolombiano Institución Universitaria, Bogotá 111321, Colombia
– name: 4 Control, Modeling, Identification and Applications (CoDAlab), Departament de Matemàtiques, Escola d’Enginyeria de Barcelona Est (EEBE), Universitat Politècnica de Catalunya (UPC), Campus Diagonal-Besòs (CDB), Eduard Maristany, 16, 08019 Barcelona, Spain; david.agis@upc.edu (D.A.); francesc.pozo@upc.edu (F.P.)
– name: 1 Departamento de Ingeniería Eléctrica y Electrónica, Universidad Nacional de Colombia, Cra 45 No. 26-85, Bogotá 111321, Colombia; rcgomezv@unal.edu.co
– name: 3 Departamento de Ingeniería de Sistemas e Industrial, Universidad Nacional de Colombia, Cra 45 No. 26-85, Bogotá 111321, Colombia; capedrazab@unal.edu.co
Author_xml – sequence: 1
  givenname: Diego A.
  orcidid: 0000-0002-4498-596X
  surname: Tibaduiza Burgos
  fullname: Tibaduiza Burgos, Diego A.
– sequence: 2
  givenname: Ricardo C.
  orcidid: 0000-0003-2296-8648
  surname: Gomez Vargas
  fullname: Gomez Vargas, Ricardo C.
– sequence: 3
  givenname: Cesar
  orcidid: 0000-0002-6687-1429
  surname: Pedraza
  fullname: Pedraza, Cesar
– sequence: 4
  givenname: David
  orcidid: 0000-0002-7283-6902
  surname: Agis
  fullname: Agis, David
– sequence: 5
  givenname: Francesc
  orcidid: 0000-0001-8958-6789
  surname: Pozo
  fullname: Pozo, Francesc
BackLink https://www.ncbi.nlm.nih.gov/pubmed/32013073$$D View this record in MEDLINE/PubMed
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Cites_doi 10.1007/s13320-017-0419-z
10.1088/0957-0233/19/12/122001
10.1002/stc.2178
10.1007/s10443-016-9538-8
10.1109/TLA.2015.7106362
10.1109/ICFST.2017.8210469
10.1109/TDSC.2015.2469655
10.5772/65867
10.1016/j.compositesb.2014.08.046
10.1007/s11831-017-9217-4
10.1016/j.ymssp.2015.04.032
10.1177/1475921710365267
10.1016/j.apacoust.2015.01.013
10.1007/s13349-016-0168-5
10.1016/j.paerosci.2015.10.001
10.1088/0964-1726/24/3/033001
10.3390/en11040749
10.1088/0964-1726/23/2/025014
10.1007/s13349-013-0060-5
10.1177/1045389X9901000406
10.1177/1687814017696210
10.1016/j.optlaseng.2016.10.023
10.1117/12.815366
10.1080/10589759.2015.1058376
10.1088/1742-6596/1106/1/012001
10.1109/ICIEA.2016.7603550
10.1016/j.ymssp.2017.05.047
10.3390/en9010003
10.1109/ICSensT.2011.6137057
10.1115/1.4029539
10.2514/6.2014-3264
10.1109/JLT.2016.2614542
10.1016/j.measurement.2018.07.008
10.1146/annurev-anchem-060908-155248
10.1016/j.ymssp.2013.05.020
10.1016/j.ymssp.2013.05.007
10.1002/aic.12760
10.1016/j.ymssp.2018.02.008
10.1007/s13349-019-00369-0
10.1111/mice.12338
10.1155/2014/709127
10.1109/JSEN.2014.2352612
10.1007/978-3-7091-1390-5_4
10.20944/preprints201810.0522.v1
10.4401/ag-5268
10.1088/0964-1726/23/10/105005
10.1007/s40091-015-0084-7
10.1155/2015/648097
10.1016/j.proeng.2011.07.095
10.1177/1475921715624504
10.1016/j.ymssp.2018.07.040
10.1016/j.ymssp.2009.09.003
10.1006/jsvi.2000.3390
10.1088/1361-665X/aaafeb
10.1115/IMECE1996-0685
10.1109/JSEN.2007.894908
10.3390/s18092745
10.1016/j.neunet.2009.04.005
10.1109/TSP.2014.2302736
10.1109/ICMSAO.2011.5775618
10.1016/j.marstruc.2017.09.009
10.3390/s18113730
10.1109/JPROC.2015.2511540
10.1177/1475921718758629
10.1155/2016/6027812
10.1109/COMST.2017.2691551
10.3390/s18072174
10.1109/JSEN.2009.2019339
10.1016/j.oceaneng.2016.08.009
10.1016/j.compositesb.2019.01.050
10.1002/stc.1811
10.1016/j.jsv.2017.02.002
10.1088/1361-665X/aac78a
10.1016/j.sna.2016.05.014
10.1177/0583102406061499
10.1109/TIM.2018.2792854
10.1177/1045389X14566520
10.1177/1475921705049764
10.3390/mi8070210
10.1016/j.jsv.2016.10.006
10.3390/s17040667
10.1109/RAST.2017.8002955
10.1002/stc.2122
10.1177/1475921706067741
10.1002/stc.2165
10.1016/j.conbuildmat.2018.04.045
10.1177/1475921713513973
10.3390/ma9090790
10.1109/ESIME.2010.5464563
10.1016/j.ymssp.2017.11.045
10.1002/stc.1540
10.1155/2018/5081283
10.1016/j.ultras.2015.02.011
10.4271/2013-01-2219
10.1016/j.measurement.2019.01.054
10.1016/j.measurement.2017.05.064
10.2478/meceng-2014-0037
10.1177/1045389X13498317
10.1016/j.apor.2018.01.008
10.3390/en9070520
10.1109/JSEN.2018.2844564
10.1007/s13349-015-0108-9
10.1177/1475921712451954
10.1016/j.ymssp.2019.06.003
10.1016/j.ymssp.2018.07.031
10.1098/rsta.2006.1928
10.1143/JJAP.46.4908
10.1016/j.measurement.2015.02.007
10.1063/1.4914695
10.1109/ICPHM.2017.7998322
10.1260/1369-4332.16.7.1187
10.1002/9781118443118
10.1111/j.1467-8667.2008.00543.x
10.1109/TMECH.2017.2761902
10.1061/9780784413609.018
10.1109/ICSENS.2016.7808731
10.1109/JSEN.2016.2630008
10.1016/j.ymssp.2015.01.019
10.1533/9781782422433.1.33
10.1016/j.ymssp.2016.09.004
10.3390/s18103426
10.1016/j.ymssp.2017.04.022
10.1111/jace.16242
10.1002/stc.1851
10.1016/j.sna.2018.03.005
10.1533/9781845696825.1
10.1016/j.engstruct.2017.10.022
10.1016/j.engstruct.2010.11.012
10.3390/s17020417
10.1117/12.2261212
10.1088/1361-6501/aa52ed
10.1109/WiSEE.2013.6737554
10.12989/sss.2016.17.6.1031
10.1109/JLT.2018.2877991
10.1016/j.measurement.2018.06.030
10.1061/(ASCE)BE.1943-5592.0000735
10.1088/0964-1726/10/3/304
10.3390/s18030809
10.1109/JSEN.2016.2522940
10.3390/s17061252
10.1016/j.jsamd.2016.05.004
10.1016/j.compositesa.2011.10.016
10.1109/TIM.2011.2170889
10.1109/JSEN.2014.2366932
10.3390/ma10070832
10.1117/12.827823
10.1016/j.jsv.2016.08.038
10.1016/j.paerosci.2010.05.001
10.1177/1475921717737971
10.1002/stc.2238
10.1117/12.2260167
10.1117/12.816285
10.1016/j.oceaneng.2017.02.030
10.1002/stc.1735
10.1177/1475921704041876
10.3390/s140407394
10.1007/s00779-018-1130-9
10.1134/S1061830915060078
10.1088/0964-1726/23/4/045006
10.1016/j.ultras.2014.11.012
10.1109/JIOT.2017.2664072
10.1109/ISQED.2018.8357313
10.1016/j.apor.2016.12.008
10.1016/j.engstruct.2008.01.013
10.1177/1475921713502836
10.1007/s00158-017-1849-3
10.1109/ICMOCE.2015.7489736
10.3390/s18010262
10.1117/12.2012107
10.1098/rsta.2006.1935
10.1007/978-3-7091-0399-9_1
10.1088/0964-1726/25/5/053001
ContentType Journal Article
Publication
Contributor Universitat Politècnica de Catalunya. CoDAlab - Control, Modelització, Identificació i Aplicacions
Universitat Politècnica de Catalunya. Doctorat en Matemàtica Aplicada
Universitat Politècnica de Catalunya. Departament de Matemàtiques
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– sequence: 3
  fullname: Universitat Politècnica de Catalunya. CoDAlab - Control, Modelització, Identificació i Aplicacions
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Issue 3
Keywords structural health monitoring
sensors
data-driven algorithms
damage identification
Language English
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References ref_94
Webb (ref_202) 2015; 20
ref_91
ref_90
Abdollahian (ref_138) 2017; 9
Barke (ref_5) 2005; 4
ref_134
Zhang (ref_99) 2018; 18
Cazangiu (ref_174) 2014; 7
Worden (ref_157) 2018; 98
ref_126
Mujica (ref_3) 2013; 23
ref_128
Reilly (ref_149) 2017; 386
ref_127
ref_122
Adler (ref_33) 2010; 3
ref_124
ref_123
Farrar (ref_30) 2006; 365
Tibaduiza (ref_172) 2016; 27
Oliveira (ref_58) 2018; 25
Fernandes (ref_154) 2015; 13
Noel (ref_8) 2017; 19
Li (ref_150) 2016; 6
ref_78
Budoya (ref_113) 2018; 67
ref_152
ref_155
Cao (ref_23) 2017; 9
Perales (ref_96) 2018; 27
Cappello (ref_198) 2016; 104
ref_160
Taha (ref_166) 2006; 5
Zhou (ref_57) 2017; 63
Mitra (ref_27) 2016; 25
ref_147
Hoshyarmanesh (ref_41) 2017; 22
ref_80
Ma (ref_87) 2015; 57
ref_140
ref_141
ref_144
Zang (ref_79) 2004; 3
ref_143
Ganesan (ref_148) 2017; 394
Mandal (ref_105) 2019; 117
Hedberg (ref_104) 2007; 46
Morse (ref_69) 2018; 99
Padmavathy (ref_40) 2018; 22
Ruan (ref_112) 2014; 23
Montejo (ref_159) 2015; 7
(ref_76) 2018; 25
Ruiz (ref_163) 2018; 17
Sikarwar (ref_12) 2017; 7
Sabato (ref_9) 2017; 17
Adeli (ref_13) 2015; 22
Sabato (ref_136) 2016; 16
Jamalkia (ref_39) 2016; 125
Sen (ref_188) 2019; 131
Buethe (ref_64) 2013; 3
Li (ref_98) 2011; 14
Tibaduiza (ref_185) 2018; 2018
Le (ref_22) 2015; 79
Datteo (ref_189) 2017; 153
ref_201
ref_200
Araujo (ref_151) 2012; 61
Yang (ref_117) 2017; 35
Wan (ref_66) 2018; 27
Yoon (ref_67) 2018; 33
Talakokula (ref_115) 2014; 25
Sohn (ref_20) 2001; 10
Rainieri (ref_42) 2019; 18
ref_111
ref_110
Torres (ref_119) 2011; 33
Park (ref_68) 2018; 25
(ref_139) 2018; 25
Martowicz (ref_205) 2016; 31
Zhou (ref_35) 2013; 16
Lu (ref_51) 2009; 9
Potapov (ref_102) 2015; 51
Bolognani (ref_206) 2017; Volume 10170
ref_103
ref_106
Iakovidis (ref_170) 2018; 1106
Lynch (ref_7) 2006; 38
ref_109
Momon (ref_191) 2012; 43
Li (ref_24) 2015; 24
Bai (ref_203) 2017; 84
Tibaduiza (ref_77) 2015; 22
Ha (ref_93) 2010; 9
Carboni (ref_85) 2015; 60
Jung (ref_142) 2019; 163
Tokognon (ref_29) 2017; 4
Lorenzoni (ref_195) 2016; 66
Flynn (ref_180) 2010; 24
ref_14
ref_10
Huang (ref_167) 2016; 17
ref_19
ref_18
ref_17
Konstantinidis (ref_52) 2007; 7
Moschas (ref_132) 2019; 116
Prendergast (ref_56) 2018; 57
Calleja (ref_158) 2008; 3
Kedziora (ref_101) 2013; 542
Rothberg (ref_11) 2017; 99
Lu (ref_145) 2017; 28
Das (ref_25) 2018; 129
ref_21
Mujica (ref_187) 2012; 22
Ciang (ref_4) 2008; 19
Cherkassky (ref_192) 2009; 22
ref_26
Chandarana (ref_107) 2017; 24
Ge (ref_173) 2012; 58
Park (ref_16) 2014; 62
Dixit (ref_130) 2018; 274
Zhou (ref_53) 2009; Volume 7293
Liu (ref_97) 2014; 13
Baghalian (ref_89) 2017; 8
Catbas (ref_31) 2008; 30
Joseph (ref_108) 2017; Volume 10170
Baghalian (ref_74) 2018; 128
Carden (ref_6) 2008; 23
Willberg (ref_28) 2015; 67
Bilbao (ref_47) 2011; Volume 7981
Li (ref_116) 2018; 36
Giang (ref_125) 2016; 1
Schmitt (ref_118) 2009; Volume 7389
Andre (ref_175) 2016; Volume 9803
ref_50
Saboonchi (ref_129) 2016; 247
Tibaduiza (ref_32) 2013; 41
Kim (ref_70) 2018; 57
Lakhmi (ref_131) 2014; 605
ref_55
ref_54
ref_177
Sabatino (ref_207) 2017; 135
Tashakori (ref_81) 2018; 72
ref_179
ref_178
Diamanti (ref_84) 2010; 46
ref_182
Tondolo (ref_135) 2018; 173
ref_181
Cooperman (ref_133) 2015; Volume 9439
Linderman (ref_153) 2015; 15
Anaya (ref_49) 2014; 23
Pozo (ref_176) 2016; 15
Annamdas (ref_95) 2009; Volume 7293
ref_162
ref_161
Tibaduiza (ref_183) 2013; 20
ref_164
ref_65
ref_165
ref_63
Rainieri (ref_60) 2015; 60
ref_62
Bond (ref_73) 2015; 1650
Dai (ref_137) 2013; Volume 8694
ref_171
Sohn (ref_156) 2006; 365
Mulligan (ref_186) 2013; 4
Endsley (ref_199) 2012; Volume 8345
Foote (ref_72) 2013; 6
Yamamoto (ref_59) 2018; 26
Deraemaeker (ref_204) 2018; 105
Qin (ref_114) 2015; 94
ref_36
Shehata (ref_120) 1999; 10
ref_194
ref_34
ref_197
ref_196
Zou (ref_75) 2015; 15
Zang (ref_15) 2001; 242
Kinet (ref_121) 2014; 14
ref_38
ref_37
McCrory (ref_193) 2015; 68
Reynders (ref_43) 2014; 13
Senyurek (ref_86) 2015; 67
Barski (ref_100) 2014; 61
Chehami (ref_82) 2017; 386
Isidori (ref_45) 2016; 23
Kudela (ref_92) 2018; 108
Yi (ref_168) 2017; 109
ref_184
ref_46
ref_44
Rainieri (ref_61) 2018; 25
Fan (ref_71) 2014; 574
ref_1
ref_2
ref_190
Gresil (ref_88) 2012; 11
ref_48
Kullaa (ref_169) 2013; 40
Bhuiyan (ref_146) 2017; 14
Tashakori (ref_83) 2018; 2018
References_xml – ident: ref_190
– volume: 7
  start-page: 294
  year: 2017
  ident: ref_12
  article-title: Review on pressure sensors for structural health monitoring
  publication-title: Photonic Sens.
  doi: 10.1007/s13320-017-0419-z
– volume: 19
  start-page: 122001
  year: 2008
  ident: ref_4
  article-title: Structural health monitoring for a wind turbine system: A review of damage detection methods
  publication-title: Meas. Sci. Technol.
  doi: 10.1088/0957-0233/19/12/122001
– volume: 25
  start-page: e2178
  year: 2018
  ident: ref_76
  article-title: An acousto-ultrasonics approach for probabilistic modelling and inference based on Gaussian processes
  publication-title: Struct. Control Health Monit.
  doi: 10.1002/stc.2178
– volume: 24
  start-page: 525
  year: 2017
  ident: ref_107
  article-title: Characterisation of damaged tubular composites by acoustic emission, thermal diffusivity mapping and TSR-RGB projection technique
  publication-title: Appl. Compos. Mater.
  doi: 10.1007/s10443-016-9538-8
– volume: 13
  start-page: 1090
  year: 2015
  ident: ref_154
  article-title: Data Management System for Structural Health Monitoring
  publication-title: IEEE Lat. Am. Trans.
  doi: 10.1109/TLA.2015.7106362
– ident: ref_65
– ident: ref_155
– ident: ref_147
  doi: 10.1109/ICFST.2017.8210469
– ident: ref_161
– volume: 14
  start-page: 363
  year: 2017
  ident: ref_146
  article-title: Dependable structural health monitoring using wireless sensor networks
  publication-title: IEEE Trans. Dependable Secur. Comput.
  doi: 10.1109/TDSC.2015.2469655
– ident: ref_184
  doi: 10.5772/65867
– volume: 68
  start-page: 424
  year: 2015
  ident: ref_193
  article-title: Damage classification in carbon fibre composites using acoustic emission: A comparison of three techniques
  publication-title: Compos. Part B Eng.
  doi: 10.1016/j.compositesb.2014.08.046
– volume: 25
  start-page: 901
  year: 2018
  ident: ref_139
  article-title: Sensors used in structural health monitoring
  publication-title: Arch. Comput. Methods Eng.
  doi: 10.1007/s11831-017-9217-4
– volume: 66
  start-page: 268
  year: 2016
  ident: ref_195
  article-title: Uncertainty quantification in structural health monitoring: Applications on cultural heritage buildings
  publication-title: Mech. Syst. Signal Process.
  doi: 10.1016/j.ymssp.2015.04.032
– volume: 9
  start-page: 247
  year: 2010
  ident: ref_93
  article-title: Adhesive Layer Effects on PZT-induced Lamb Waves at Elevated Temperatures
  publication-title: Struct. Health Monit.
  doi: 10.1177/1475921710365267
– volume: 94
  start-page: 53
  year: 2015
  ident: ref_114
  article-title: Development of technique capable of identifying different corrosion stages in reinforced concrete
  publication-title: Appl. Acoust.
  doi: 10.1016/j.apacoust.2015.01.013
– ident: ref_19
  doi: 10.1007/s13349-016-0168-5
– volume: 79
  start-page: 147
  year: 2015
  ident: ref_22
  article-title: Review on energy harvesting for structural health monitoring in aeronautical applications
  publication-title: Prog. Aerosp. Sci.
  doi: 10.1016/j.paerosci.2015.10.001
– volume: 24
  start-page: 033001
  year: 2015
  ident: ref_24
  article-title: A review of damage detection methods for wind turbine blades
  publication-title: Smart Mater. Struct.
  doi: 10.1088/0964-1726/24/3/033001
– ident: ref_179
  doi: 10.3390/en11040749
– volume: 23
  start-page: 025014
  year: 2013
  ident: ref_3
  article-title: A structural damage detection indicator based on principal component analysis and statistical hypothesis testing
  publication-title: Smart Mater. Struct.
  doi: 10.1088/0964-1726/23/2/025014
– volume: 3
  start-page: 297
  year: 2013
  ident: ref_64
  article-title: Damage detection and classification in pipework using acousto-ultrasonics and non-linear data-driven modelling
  publication-title: J. Civ. Struct. Health Monit.
  doi: 10.1007/s13349-013-0060-5
– volume: 10
  start-page: 304
  year: 1999
  ident: ref_120
  article-title: Intelligent sensing for innovative bridges
  publication-title: J. Intell. Mater. Syst. Struct.
  doi: 10.1177/1045389X9901000406
– volume: 9
  start-page: 1
  year: 2017
  ident: ref_23
  article-title: A survey on ambient energy sources and harvesting methods for structural health monitoring applications
  publication-title: Adv. Mech. Eng.
  doi: 10.1177/1687814017696210
– ident: ref_196
– volume: 99
  start-page: 11
  year: 2017
  ident: ref_11
  article-title: An international review of laser Doppler vibrometry: Making light work of vibration measurement
  publication-title: Opt. Lasers Eng.
  doi: 10.1016/j.optlaseng.2016.10.023
– volume: Volume 7293
  start-page: 72930V
  year: 2009
  ident: ref_95
  article-title: Influence of the excitation frequency in the electromechanical impedance method for SHM applications
  publication-title: Smart Sensor Phenomena, Technology, Networks, and Systems 2009
  doi: 10.1117/12.815366
– volume: 31
  start-page: 17
  year: 2016
  ident: ref_205
  article-title: Application of electromechanical impedance-based SHM for damage detection in bolted pipeline connection
  publication-title: Nondestruct. Test. Eval.
  doi: 10.1080/10589759.2015.1058376
– ident: ref_14
– volume: 1106
  start-page: 012001
  year: 2018
  ident: ref_170
  article-title: A principled multiresolution approach for signal decomposition
  publication-title: J. Phys. Conf. Ser.
  doi: 10.1088/1742-6596/1106/1/012001
– ident: ref_200
  doi: 10.1109/ICIEA.2016.7603550
– volume: 99
  start-page: 107
  year: 2018
  ident: ref_69
  article-title: Reliability based impact localization in composite panels using Bayesian updating and the Kalman filter
  publication-title: Mech. Syst. Signal Process.
  doi: 10.1016/j.ymssp.2017.05.047
– ident: ref_177
  doi: 10.3390/en9010003
– ident: ref_26
  doi: 10.1109/ICSensT.2011.6137057
– volume: 67
  start-page: 010803
  year: 2015
  ident: ref_28
  article-title: Simulation methods for guided wave-based structural health monitoring: A review
  publication-title: Appl. Mech. Rev.
  doi: 10.1115/1.4029539
– ident: ref_37
  doi: 10.2514/6.2014-3264
– volume: 35
  start-page: 3604
  year: 2017
  ident: ref_117
  article-title: A novel white light interference based AFM head
  publication-title: J. Lightwave Technol.
  doi: 10.1109/JLT.2016.2614542
– volume: 129
  start-page: 68
  year: 2018
  ident: ref_25
  article-title: A review of some advanced sensors used for health diagnosis of civil engineering structures
  publication-title: Measurement
  doi: 10.1016/j.measurement.2018.07.008
– volume: Volume 9803
  start-page: 98030F
  year: 2016
  ident: ref_175
  article-title: Structural health monitoring approach for detecting ice accretion on bridge cable using the Haar Wavelet Transform
  publication-title: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016
– volume: 2018
  start-page: 1361932
  year: 2018
  ident: ref_83
  article-title: Composites Bond Inspection Using Heterodyne Effect and SuRE Methods
  publication-title: Shock Vib.
– volume: 3
  start-page: 175
  year: 2010
  ident: ref_33
  article-title: Cavity-enhanced direct frequency comb spectroscopy: Technology and applications
  publication-title: Annu. Rev. Anal. Chem.
  doi: 10.1146/annurev-anchem-060908-155248
– volume: 41
  start-page: 467
  year: 2013
  ident: ref_32
  article-title: A study of two unsupervised data driven statistical methodologies for detecting and classifying damages in structural health monitoring
  publication-title: Mech. Syst. Signal Process.
  doi: 10.1016/j.ymssp.2013.05.020
– volume: 40
  start-page: 208
  year: 2013
  ident: ref_169
  article-title: Detection, identification, and quantification of sensor fault in a sensor network
  publication-title: Mech. Syst. Signal Process.
  doi: 10.1016/j.ymssp.2013.05.007
– volume: 58
  start-page: 2357
  year: 2012
  ident: ref_173
  article-title: Local ICA for multivariate statistical fault diagnosis in systems with unknown signal and error distributions
  publication-title: AIChE J.
  doi: 10.1002/aic.12760
– volume: 108
  start-page: 21
  year: 2018
  ident: ref_92
  article-title: Structural Health Monitoring system based on a concept of Lamb wave focusing by the piezoelectric array
  publication-title: Mech. Syst. Signal Process.
  doi: 10.1016/j.ymssp.2018.02.008
– ident: ref_44
  doi: 10.1007/s13349-019-00369-0
– volume: 33
  start-page: 183
  year: 2018
  ident: ref_67
  article-title: Structural displacement measurement using an unmanned aerial system
  publication-title: Comput.-Aided Civ. Infrastruct. Eng.
  doi: 10.1111/mice.12338
– volume: 574
  start-page: 77
  year: 2014
  ident: ref_71
  article-title: Reliability prediction of bridges based on monitored data and Bayesian dynamic models. Key Engineering Materials
  publication-title: Trans Tech Publ.
– ident: ref_182
  doi: 10.1155/2014/709127
– volume: 15
  start-page: 809
  year: 2015
  ident: ref_75
  article-title: An approach of reliable data transmission with random redundancy for wireless sensors in structural health monitoring
  publication-title: IEEE Sens. J.
  doi: 10.1109/JSEN.2014.2352612
– ident: ref_21
  doi: 10.1007/978-3-7091-1390-5_4
– ident: ref_80
  doi: 10.20944/preprints201810.0522.v1
– ident: ref_124
  doi: 10.4401/ag-5268
– volume: 23
  start-page: 105005
  year: 2014
  ident: ref_112
  article-title: Wind turbine blade damage detection using an active sensing approach
  publication-title: Smart Mater. Struct.
  doi: 10.1088/0964-1726/23/10/105005
– volume: 7
  start-page: 69
  year: 2015
  ident: ref_159
  article-title: Experimental and numerical evaluation of wavelet based damage detection methodologies
  publication-title: Int. J. Adv. Struct. Eng.
  doi: 10.1007/s40091-015-0084-7
– ident: ref_181
  doi: 10.1155/2015/648097
– volume: 14
  start-page: 753
  year: 2011
  ident: ref_98
  article-title: Structural health monitoring: From sensing technology stepping to health diagnosis
  publication-title: Procedia Eng.
  doi: 10.1016/j.proeng.2011.07.095
– volume: 15
  start-page: 127
  year: 2016
  ident: ref_176
  article-title: Detection of structural changes through principal component analysis and multivariate statistical inference
  publication-title: Struct. Health Monit.
  doi: 10.1177/1475921715624504
– volume: 117
  start-page: 33
  year: 2019
  ident: ref_105
  article-title: Identification of breathing type disbonds in stiffened panels using non-linear lamb waves and built-in circular PWT array
  publication-title: Mech. Syst. Signal Process.
  doi: 10.1016/j.ymssp.2018.07.040
– volume: 24
  start-page: 891
  year: 2010
  ident: ref_180
  article-title: A Bayesian approach to optimal sensor placement for structural health monitoring with application to active sensing
  publication-title: Mech. Syst. Signal Process.
  doi: 10.1016/j.ymssp.2009.09.003
– volume: 242
  start-page: 813
  year: 2001
  ident: ref_15
  article-title: Structural damage detection using artificial neural networks and measured FRF data reduced via principal component projection
  publication-title: J. Sound Vib.
  doi: 10.1006/jsvi.2000.3390
– volume: 27
  start-page: 045006
  year: 2018
  ident: ref_66
  article-title: Numerical study on static component generation from the primary Lamb waves propagating in a plate with nonlinearity
  publication-title: Smart Mater. Struct.
  doi: 10.1088/1361-665X/aaafeb
– ident: ref_110
  doi: 10.1115/IMECE1996-0685
– volume: 7
  start-page: 905
  year: 2007
  ident: ref_52
  article-title: An investigation into the temperature stability of a guided wave structural health monitoring system using permanently attached sensors
  publication-title: IEEE Sens. J.
  doi: 10.1109/JSEN.2007.894908
– ident: ref_94
  doi: 10.3390/s18092745
– volume: 22
  start-page: 958
  year: 2009
  ident: ref_192
  article-title: Another look at statistical learning theory and regularization
  publication-title: Neural Netw.
  doi: 10.1016/j.neunet.2009.04.005
– volume: 62
  start-page: 1655
  year: 2014
  ident: ref_16
  article-title: Modal analysis with compressive measurements
  publication-title: IEEE Trans. Signal Process.
  doi: 10.1109/TSP.2014.2302736
– ident: ref_62
  doi: 10.1109/ICMSAO.2011.5775618
– volume: 57
  start-page: 87
  year: 2018
  ident: ref_56
  article-title: Probabilistic examination of the change in eigenfrequencies of an offshore wind turbine under progressive scour incorporating soil spatial variability
  publication-title: Mar. Struct.
  doi: 10.1016/j.marstruc.2017.09.009
– ident: ref_134
  doi: 10.3390/s18113730
– volume: 3
  start-page: 643
  year: 2008
  ident: ref_158
  article-title: An innovative way to handle residues in a no-tillage maize-based system under sprinkler irrigation in southern Spain
  publication-title: Ital. J. Agron.
– volume: 104
  start-page: 1647
  year: 2016
  ident: ref_198
  article-title: Expected utility theory for monitoring-based decision-making
  publication-title: Proc. IEEE
  doi: 10.1109/JPROC.2015.2511540
– volume: 18
  start-page: 486
  year: 2019
  ident: ref_42
  article-title: Predicting the variability of natural frequencies and its causes by Second-Order Blind Identification
  publication-title: Struct. Health Monit.
  doi: 10.1177/1475921718758629
– ident: ref_160
  doi: 10.1155/2016/6027812
– volume: 9
  start-page: 707
  year: 2017
  ident: ref_138
  article-title: Nonlocal Piezomagnetoelasticity Theory for Buckling Analysis of Piezoelectric/Magnetostrictive Nanobeams Including Surface Effects
  publication-title: J. Solid Mech.
– ident: ref_38
– volume: 19
  start-page: 1403
  year: 2017
  ident: ref_8
  article-title: Structural health monitoring using wireless sensor networks: A comprehensive survey
  publication-title: IEEE Commun. Surv. Tutor.
  doi: 10.1109/COMST.2017.2691551
– ident: ref_162
– ident: ref_141
  doi: 10.3390/s18072174
– volume: 9
  start-page: 1462
  year: 2009
  ident: ref_51
  article-title: Feature extraction and sensor fusion for ultrasonic structural health monitoring under changing environmental conditions
  publication-title: IEEE Sens. J.
  doi: 10.1109/JSEN.2009.2019339
– volume: 125
  start-page: 191
  year: 2016
  ident: ref_39
  article-title: Damage detection of TLP and Spar floating wind turbine using dynamic response of the structure
  publication-title: Ocean Eng.
  doi: 10.1016/j.oceaneng.2016.08.009
– volume: 163
  start-page: 690
  year: 2019
  ident: ref_142
  article-title: Performance evaluation of smart grid fabrics comprising carbon dry fabrics and PVDF ribbon sensors for structural health monitoring
  publication-title: Compos. Part B Eng.
  doi: 10.1016/j.compositesb.2019.01.050
– volume: 23
  start-page: 802
  year: 2016
  ident: ref_45
  article-title: Proof of concept of the structural health monitoring of framed structures by a novel combined experimental and theoretical approach
  publication-title: Struct. Control Health Monit.
  doi: 10.1002/stc.1811
– ident: ref_111
– volume: 394
  start-page: 612
  year: 2017
  ident: ref_148
  article-title: Vibration-based monitoring and diagnostics using compressive sensing
  publication-title: J. Sound Vib.
  doi: 10.1016/j.jsv.2017.02.002
– volume: 27
  start-page: 085002
  year: 2018
  ident: ref_96
  article-title: SHM via topological derivative
  publication-title: Smart Mater. Struct.
  doi: 10.1088/1361-665X/aac78a
– ident: ref_54
– volume: 247
  start-page: 566
  year: 2016
  ident: ref_129
  article-title: MEMS sensor fusion: Acoustic emission and strain
  publication-title: Sens. Actuators A Phys.
  doi: 10.1016/j.sna.2016.05.014
– ident: ref_2
– volume: 38
  start-page: 91
  year: 2006
  ident: ref_7
  article-title: A summary review of wireless sensors and sensor networks for structural health monitoring
  publication-title: Shock Vib. Dig.
  doi: 10.1177/0583102406061499
– volume: 67
  start-page: 912
  year: 2018
  ident: ref_113
  article-title: A comparative study of impedance measurement techniques for structural health monitoring applications
  publication-title: IEEE Trans. Instrum. Meas.
  doi: 10.1109/TIM.2018.2792854
– volume: 27
  start-page: 233
  year: 2016
  ident: ref_172
  article-title: Structural damage detection using principal component analysis and damage indices
  publication-title: J. Intell. Mater. Syst. Struct.
  doi: 10.1177/1045389X14566520
– volume: 4
  start-page: 81
  year: 2005
  ident: ref_5
  article-title: Structural health monitoring in the railway industry: A review
  publication-title: Struct. Health Monit.
  doi: 10.1177/1475921705049764
– volume: 8
  start-page: 1
  year: 2017
  ident: ref_89
  article-title: Non-contact quantification of longitudinal and circumferential defects in pipes using the surface response to excitation (SuRE) method
  publication-title: Int. J. Progn. Health Manag.
– ident: ref_123
  doi: 10.3390/mi8070210
– volume: 386
  start-page: 283
  year: 2017
  ident: ref_82
  article-title: Nonlinear secondary noise sources for passive defect detection using ultrasound sensors
  publication-title: J. Sound Vib.
  doi: 10.1016/j.jsv.2016.10.006
– ident: ref_122
  doi: 10.3390/s17040667
– ident: ref_90
  doi: 10.1109/RAST.2017.8002955
– volume: 25
  start-page: e2122
  year: 2018
  ident: ref_68
  article-title: Visual–inertial displacement sensing using data fusion of vision-based displacement with acceleration
  publication-title: Struct. Control Health Monit.
  doi: 10.1002/stc.2122
– volume: 5
  start-page: 267
  year: 2006
  ident: ref_166
  article-title: Wavelet transform for structural health monitoring: A compendium of uses and features
  publication-title: Struct. Health Monit.
  doi: 10.1177/1475921706067741
– volume: 25
  start-page: 1
  year: 2018
  ident: ref_61
  article-title: Shaking table tests for the experimental verification of the effectiveness of an automated modal parameter monitoring system for existing bridges in seismic areas
  publication-title: Struct. Control Health Monit.
  doi: 10.1002/stc.2165
– volume: 173
  start-page: 740
  year: 2018
  ident: ref_135
  article-title: Smart reinforcement steel bars with low-cost MEMS sensors for the structural health monitoring of RC structures
  publication-title: Constr. Build. Mater.
  doi: 10.1016/j.conbuildmat.2018.04.045
– volume: 13
  start-page: 131
  year: 2014
  ident: ref_97
  article-title: Damage assessment with state–space embedding strategy and singular value decomposition under stochastic excitation
  publication-title: Struct. Health Monit.
  doi: 10.1177/1475921713513973
– ident: ref_201
  doi: 10.3390/ma9090790
– ident: ref_50
  doi: 10.1109/ESIME.2010.5464563
– volume: 105
  start-page: 1
  year: 2018
  ident: ref_204
  article-title: A comparison of linear approaches to filter out environmental effects in structural health monitoring
  publication-title: Mech. Syst. Signal Process.
  doi: 10.1016/j.ymssp.2017.11.045
– ident: ref_1
– volume: 20
  start-page: 1303
  year: 2013
  ident: ref_183
  article-title: Damage classification in structural health monitoring using principal component analysis and self-organizing maps
  publication-title: Struct. Control Health Monit.
  doi: 10.1002/stc.1540
– volume: 2018
  start-page: 5081283
  year: 2018
  ident: ref_185
  article-title: A damage classification approach for structural health monitoring using machine learning
  publication-title: Complexity
  doi: 10.1155/2018/5081283
– volume: 60
  start-page: 51
  year: 2015
  ident: ref_85
  article-title: A Lamb waves based statistical approach to structural health monitoring of carbon fibre reinforced polymer composites
  publication-title: Ultrasonics
  doi: 10.1016/j.ultras.2015.02.011
– volume: 6
  start-page: 525
  year: 2013
  ident: ref_72
  article-title: New guidelines for implementation of structural health monitoring in aerospace applications
  publication-title: SAE Int. J. Aerosp.
  doi: 10.4271/2013-01-2219
– ident: ref_106
  doi: 10.1016/j.measurement.2019.01.054
– volume: 605
  start-page: 55
  year: 2014
  ident: ref_131
  article-title: Study of free-standing electroded PZT thick-films: From materials to microsystems. Key Engineering Materials
  publication-title: Trans Tech Publ.
– volume: 109
  start-page: 200
  year: 2017
  ident: ref_168
  article-title: Development of sensor validation methodologies for structural health monitoring: A comprehensive review
  publication-title: Measurement
  doi: 10.1016/j.measurement.2017.05.064
– volume: 61
  start-page: 653
  year: 2014
  ident: ref_100
  article-title: Structural health monitoring (SHM) methods in machine design and operation
  publication-title: Arch. Mech. Eng.
  doi: 10.2478/meceng-2014-0037
– volume: 25
  start-page: 484
  year: 2014
  ident: ref_115
  article-title: Corrosion assessment of reinforced concrete structures based on equivalent structural parameters using electro-mechanical impedance technique
  publication-title: J. Intell. Mater. Syst. Struct.
  doi: 10.1177/1045389X13498317
– volume: 72
  start-page: 51
  year: 2018
  ident: ref_81
  article-title: Implementation of heterodyning effect for monitoring the health of adhesively bonded and fastened composite joints
  publication-title: Appl. Ocean Res.
  doi: 10.1016/j.apor.2018.01.008
– ident: ref_152
– ident: ref_178
  doi: 10.3390/en9070520
– volume: 18
  start-page: 6273
  year: 2018
  ident: ref_99
  article-title: Feature extraction for robust crack monitoring using passive wireless RFID antenna sensors
  publication-title: IEEE Sens. J.
  doi: 10.1109/JSEN.2018.2844564
– ident: ref_128
– volume: 6
  start-page: 3
  year: 2016
  ident: ref_150
  article-title: State-of-the-art in structural health monitoring of large and complex civil infrastructures
  publication-title: J. Civ. Struct. Health Monit.
  doi: 10.1007/s13349-015-0108-9
– volume: 11
  start-page: 671
  year: 2012
  ident: ref_88
  article-title: Predictive modeling of electromechanical impedance spectroscopy for composite materials
  publication-title: Struct. Health Monit.
  doi: 10.1177/1475921712451954
– volume: 131
  start-page: 524
  year: 2019
  ident: ref_188
  article-title: Data-driven semi-supervised and supervised learning algorithms for health monitoring of pipes
  publication-title: Mech. Syst. Signal Process.
  doi: 10.1016/j.ymssp.2019.06.003
– volume: 116
  start-page: 933
  year: 2019
  ident: ref_132
  article-title: Experimental evaluation of the performance of arrays of MEMS accelerometers
  publication-title: Mech. Syst. Signal Process.
  doi: 10.1016/j.ymssp.2018.07.031
– volume: 22
  start-page: 025011
  year: 2012
  ident: ref_187
  article-title: Damage detection by using FBGs and strain field pattern recognition techniques
  publication-title: Smart Mater. Struct.
– volume: 365
  start-page: 303
  year: 2006
  ident: ref_30
  article-title: An introduction to structural health monitoring
  publication-title: Philos. Trans. R. Soc. A Math. Phys. Eng. Sci.
  doi: 10.1098/rsta.2006.1928
– volume: 46
  start-page: 4908
  year: 2007
  ident: ref_104
  article-title: Design alterations of a high power air transducer
  publication-title: Jpn. J. Appl. Phys.
  doi: 10.1143/JJAP.46.4908
– volume: 67
  start-page: 10
  year: 2015
  ident: ref_86
  article-title: Detection of cuts and impact damage at the aircraft wing slat by using Lamb wave method
  publication-title: Measurement
  doi: 10.1016/j.measurement.2015.02.007
– volume: 1650
  start-page: 899
  year: 2015
  ident: ref_73
  article-title: Economics of online structural health monitoring of wind turbines: Cost benefit analysis
  publication-title: AIP Conf. Proc.
  doi: 10.1063/1.4914695
– volume: Volume 8345
  start-page: 834548
  year: 2012
  ident: ref_199
  article-title: Decision support system for integrating remote sensing in bridge condition assessment and preservation
  publication-title: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2012
– ident: ref_143
  doi: 10.1109/ICPHM.2017.7998322
– volume: 16
  start-page: 1187
  year: 2013
  ident: ref_35
  article-title: Review of benchmark studies and guidelines for structural health monitoring
  publication-title: Adv. Struct. Eng.
  doi: 10.1260/1369-4332.16.7.1187
– ident: ref_36
  doi: 10.1002/9781118443118
– volume: 23
  start-page: 360
  year: 2008
  ident: ref_6
  article-title: Fuzzy clustering of stability diagrams for vibration-based structural health monitoring
  publication-title: Comput.-Aided Civ. Infrastruct. Eng.
  doi: 10.1111/j.1467-8667.2008.00543.x
– volume: 22
  start-page: 2809
  year: 2017
  ident: ref_41
  article-title: Design and implementation of an accurate, portable, and time-efficient impedance-based transceiver for structural health monitoring
  publication-title: IEEE/ASME Trans. Mechatron.
  doi: 10.1109/TMECH.2017.2761902
– ident: ref_197
  doi: 10.1061/9780784413609.018
– ident: ref_144
  doi: 10.1109/ICSENS.2016.7808731
– volume: 17
  start-page: 226
  year: 2017
  ident: ref_9
  article-title: Wireless MEMS-Based Accelerometer Sensor Boards for Structural Vibration Monitoring: A Review
  publication-title: IEEE Sens. J.
  doi: 10.1109/JSEN.2016.2630008
– volume: 60
  start-page: 512
  year: 2015
  ident: ref_60
  article-title: Development and validation of an automated operational modal analysis algorithm for vibration-based monitoring and tensile load estimation
  publication-title: Mech. Syst. Signal Process.
  doi: 10.1016/j.ymssp.2015.01.019
– volume: 22
  start-page: 1931
  year: 2015
  ident: ref_13
  article-title: Feature extraction and classification techniques for health monitoring of structures
  publication-title: Sci. Iranica Trans. A Civ. Eng.
– ident: ref_18
  doi: 10.1533/9781782422433.1.33
– volume: 84
  start-page: 717
  year: 2017
  ident: ref_203
  article-title: Comparison of alternatives to amplitude thresholding for onset detection of acoustic emission signals
  publication-title: Mech. Syst. Signal Process.
  doi: 10.1016/j.ymssp.2016.09.004
– ident: ref_91
  doi: 10.3390/s18103426
– volume: 98
  start-page: 139
  year: 2018
  ident: ref_157
  article-title: On switching response surface models, with applications to the structural health monitoring of bridges
  publication-title: Mech. Syst. Signal Process.
  doi: 10.1016/j.ymssp.2017.04.022
– ident: ref_109
  doi: 10.1111/jace.16242
– volume: 7
  start-page: 95
  year: 2014
  ident: ref_174
  article-title: Aspects regarding to the Design of the Feature Extraction Algorithms used at Structural Health Monitoring Systems
  publication-title: Res. Sci. Today
– ident: ref_194
  doi: 10.1002/stc.1851
– ident: ref_171
– volume: 274
  start-page: 116
  year: 2018
  ident: ref_130
  article-title: Prognosis of fatigue and impact induced damage in concrete using embedded piezo-transducers
  publication-title: Sens. Actuators A Phys.
  doi: 10.1016/j.sna.2018.03.005
– ident: ref_165
  doi: 10.1533/9781845696825.1
– volume: 153
  start-page: 317
  year: 2017
  ident: ref_189
  article-title: Statistical pattern recognition approach for long-time monitoring of the G.Meazza stadium by means of AR models and PCA
  publication-title: Eng. Struct.
  doi: 10.1016/j.engstruct.2017.10.022
– volume: 542
  start-page: 75
  year: 2013
  ident: ref_101
  article-title: Piezoelectric transducers. Key Engineering Materials
  publication-title: Trans Tech Publ.
– volume: 33
  start-page: 539
  year: 2011
  ident: ref_119
  article-title: Analysis of the strain transfer in a new FBG sensor for structural health monitoring
  publication-title: Eng. Struct.
  doi: 10.1016/j.engstruct.2010.11.012
– ident: ref_78
  doi: 10.3390/s17020417
– volume: Volume 9439
  start-page: 94390A
  year: 2015
  ident: ref_133
  article-title: MEMS inertial sensors for load monitoring of wind turbine blades
  publication-title: Smart Materials and Nondestructive Evaluation for Energy Systems 2015
– volume: Volume 10170
  start-page: 101702G
  year: 2017
  ident: ref_206
  article-title: An application of Prospect Theory to a SHM-based decision problem
  publication-title: Health Monitoring of Structural and Biological Systems 2017
  doi: 10.1117/12.2261212
– volume: 28
  start-page: 024004
  year: 2017
  ident: ref_145
  article-title: Malfunction diagnosis of sensors based on correlation of measurements
  publication-title: Meas. Sci. Technol.
  doi: 10.1088/1361-6501/aa52ed
– ident: ref_55
  doi: 10.1109/WiSEE.2013.6737554
– volume: 17
  start-page: 1031
  year: 2016
  ident: ref_167
  article-title: Canonical correlation analysis based fault diagnosis method for structural monitoring sensor networks
  publication-title: Smart Struct. Syst.
  doi: 10.12989/sss.2016.17.6.1031
– volume: 36
  start-page: 5663
  year: 2018
  ident: ref_116
  article-title: In-Fiber Integrated Sensor Array With Embedded Weakly Reflective Joint Surface
  publication-title: J. Lightwave Technol.
  doi: 10.1109/JLT.2018.2877991
– volume: 128
  start-page: 89
  year: 2018
  ident: ref_74
  article-title: Development of comprehensive heterodyne effect based inspection (CHEBI) method for inclusive monitoring of cracks
  publication-title: Measurement
  doi: 10.1016/j.measurement.2018.06.030
– volume: 20
  start-page: 04014118
  year: 2015
  ident: ref_202
  article-title: Categories of SHM deployments: Technologies and capabilities
  publication-title: J. Bridge Eng.
  doi: 10.1061/(ASCE)BE.1943-5592.0000735
– volume: 10
  start-page: 446
  year: 2001
  ident: ref_20
  article-title: Damage diagnosis using time series analysis of vibration signals
  publication-title: Smart Mater. Struct.
  doi: 10.1088/0964-1726/10/3/304
– ident: ref_103
  doi: 10.3390/s18030809
– volume: 16
  start-page: 2942
  year: 2016
  ident: ref_136
  article-title: A novel wireless accelerometer board for measuring low-frequency and low-amplitude structural vibration
  publication-title: IEEE Sens. J.
  doi: 10.1109/JSEN.2016.2522940
– ident: ref_48
  doi: 10.3390/s17061252
– ident: ref_17
– volume: 1
  start-page: 214
  year: 2016
  ident: ref_125
  article-title: Fabrication and characterization of PZT string based MEMS devices
  publication-title: J. Sci. Adv. Mater. Devices
  doi: 10.1016/j.jsamd.2016.05.004
– volume: 43
  start-page: 254
  year: 2012
  ident: ref_191
  article-title: Unsupervised and supervised classification of AE data collected during fatigue test on CMC at high temperature
  publication-title: Compos. Part A Appl. Sci. Manuf.
  doi: 10.1016/j.compositesa.2011.10.016
– volume: 61
  start-page: 801
  year: 2012
  ident: ref_151
  article-title: Wireless measurement system for structural health monitoring with high time-synchronization accuracy
  publication-title: IEEE Trans. Instrum. Meas.
  doi: 10.1109/TIM.2011.2170889
– volume: 15
  start-page: 1800
  year: 2015
  ident: ref_153
  article-title: Low-latency data acquisition hardware for real-time wireless sensor applications
  publication-title: IEEE Sens. J.
  doi: 10.1109/JSEN.2014.2366932
– ident: ref_46
  doi: 10.3390/ma10070832
– volume: Volume 7389
  start-page: 738914
  year: 2009
  ident: ref_118
  article-title: Surface profile analysis using a fiber optic low-coherence interferometer
  publication-title: Optical Measurement Systems for Industrial Inspection VI
  doi: 10.1117/12.827823
– ident: ref_34
– volume: 386
  start-page: 134
  year: 2017
  ident: ref_149
  article-title: Guaranteeing robustness of structural condition monitoring to environmental variability
  publication-title: J. Sound Vib.
  doi: 10.1016/j.jsv.2016.08.038
– volume: 46
  start-page: 342
  year: 2010
  ident: ref_84
  article-title: Structural health monitoring techniques for aircraft composite structures
  publication-title: Prog. Aerosp. Sci.
  doi: 10.1016/j.paerosci.2010.05.001
– volume: 17
  start-page: 1151
  year: 2018
  ident: ref_163
  article-title: Multiway principal component analysis contributions for structural damage localization
  publication-title: Struct. Health Monit.
  doi: 10.1177/1475921717737971
– volume: 26
  start-page: 276
  year: 2018
  ident: ref_59
  article-title: Experimental Study about the Applicability of Traffic-induced Vibration for Bridge Monitoring
  publication-title: Eng. Lett.
– volume: 25
  start-page: 1
  year: 2018
  ident: ref_58
  article-title: Vibration-based damage detection in a wind turbine using 1 year of data
  publication-title: Struct. Control Health Monit.
  doi: 10.1002/stc.2238
– ident: ref_63
– volume: Volume 10170
  start-page: 1017028
  year: 2017
  ident: ref_108
  article-title: Acoustic emission source modeling in a plate using buried moment tensors
  publication-title: Health Monitoring of Structural and Biological Systems 2017
  doi: 10.1117/12.2260167
– volume: Volume 7293
  start-page: 72930U
  year: 2009
  ident: ref_53
  article-title: A system approach for temperature dependency of impedance-based structural health monitoring
  publication-title: Smart Sensor Phenomena, Technology, Networks, and Systems 2009
  doi: 10.1117/12.816285
– volume: 135
  start-page: 194
  year: 2017
  ident: ref_207
  article-title: Decision making framework for optimal SHM planning of ship structures considering availability and utility
  publication-title: Ocean Eng.
  doi: 10.1016/j.oceaneng.2017.02.030
– volume: 22
  start-page: 1103
  year: 2015
  ident: ref_77
  article-title: Signal-based nonlinear modelling for damage assessment under variable temperature conditions by means of acousto-ultrasonics
  publication-title: Struct. Control Health Monit.
  doi: 10.1002/stc.1735
– volume: 3
  start-page: 69
  year: 2004
  ident: ref_79
  article-title: Structural damage detection using independent component analysis
  publication-title: Struct. Health Monit.
  doi: 10.1177/1475921704041876
– volume: 4
  start-page: 1
  year: 2013
  ident: ref_186
  article-title: A data-driven method for predicting structural degradation using a piezoceramic array
  publication-title: Int. J. Progn. Health Manag.
– volume: Volume 7981
  start-page: 798109
  year: 2011
  ident: ref_47
  article-title: Ultra-low power wireless sensing for long-term structural health monitoring
  publication-title: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011
– volume: 14
  start-page: 7394
  year: 2014
  ident: ref_121
  article-title: Fiber Bragg grating sensors toward structural health monitoring in composite materials: Challenges and solutions
  publication-title: Sensors
  doi: 10.3390/s140407394
– volume: 22
  start-page: 883
  year: 2018
  ident: ref_40
  article-title: Design and development of microstrip patch antenna with circular and rectangular slot for structural health monitoring
  publication-title: Pers. Ubiquitous Comput.
  doi: 10.1007/s00779-018-1130-9
– volume: 51
  start-page: 338
  year: 2015
  ident: ref_102
  article-title: Low-frequency broadband ultrasonic transducers for testing articles manufactured of large-structure and composite materials. Part 1. Complete and partial degeneracy of vibration modes in piezoelectric elements of different geometric shapes
  publication-title: Russ. J. Nondestruct. Test.
  doi: 10.1134/S1061830915060078
– volume: 23
  start-page: 045006
  year: 2014
  ident: ref_49
  article-title: Data-driven methodology to detect and classify structural changes under temperature variations
  publication-title: Smart Mater. Struct.
  doi: 10.1088/0964-1726/23/4/045006
– volume: 57
  start-page: 190
  year: 2015
  ident: ref_87
  article-title: The reflection of guided waves from simple dents in pipes
  publication-title: Ultrasonics
  doi: 10.1016/j.ultras.2014.11.012
– ident: ref_164
– volume: 4
  start-page: 619
  year: 2017
  ident: ref_29
  article-title: Structural health monitoring framework based on Internet of Things: A survey
  publication-title: IEEE Internet Things J.
  doi: 10.1109/JIOT.2017.2664072
– ident: ref_126
  doi: 10.1109/ISQED.2018.8357313
– volume: 63
  start-page: 65
  year: 2017
  ident: ref_57
  article-title: Numerical study on mode curvature for damage detection of a drilling riser using transfer matrix technique
  publication-title: Appl. Ocean Res.
  doi: 10.1016/j.apor.2016.12.008
– volume: 30
  start-page: 2347
  year: 2008
  ident: ref_31
  article-title: Structural health monitoring and reliability estimation: Long span truss bridge application with environmental monitoring data
  publication-title: Eng. Struct.
  doi: 10.1016/j.engstruct.2008.01.013
– volume: 13
  start-page: 82
  year: 2014
  ident: ref_43
  article-title: Output-only structural health monitoring in changing environmental conditions by means of nonlinear system identification
  publication-title: Struct. Health Monit.
  doi: 10.1177/1475921713502836
– volume: 57
  start-page: 39
  year: 2018
  ident: ref_70
  article-title: Multi-objective probabilistic optimum monitoring planning considering fatigue damage detection, maintenance, reliability, service life and cost
  publication-title: Struct. Multidiscip. Optim.
  doi: 10.1007/s00158-017-1849-3
– ident: ref_10
  doi: 10.1109/ICMOCE.2015.7489736
– ident: ref_127
  doi: 10.3390/s18010262
– volume: Volume 8694
  start-page: 86941N
  year: 2013
  ident: ref_137
  article-title: Experimental case studies on wireless and wired sensors
  publication-title: Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2013
  doi: 10.1117/12.2012107
– volume: 365
  start-page: 539
  year: 2006
  ident: ref_156
  article-title: Effects of environmental and operational variability on structural health monitoring
  publication-title: Philos. Trans. R. Soc. A Math. Phys. Eng. Sci.
  doi: 10.1098/rsta.2006.1935
– ident: ref_140
  doi: 10.1007/978-3-7091-0399-9_1
– volume: 25
  start-page: 053001
  year: 2016
  ident: ref_27
  article-title: Guided wave based structural health monitoring: A review
  publication-title: Smart Mater. Struct.
  doi: 10.1088/0964-1726/25/5/053001
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SubjectTerms Algorithms
Aprenentatge automàtic
Civil engineering
Damage identification
Data-driven algorithms
Detectors
Enginyeria elèctrica
Estadística matemàtica
Internet of Things
Machine learning
Matemàtiques i estadística
Mathematical statistics
Microelectromechanical systems
Review
Sensors
Structural health monitoring
Useful life
Àrees temàtiques de la UPC
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