Vertical track irregularity identification based on a detrending numerical integration algorithm with vehicle acceleration measurements
•A novel algorithm embedding automatic detrending in numerical integration is developed.•Parameter-adaptive VMD is designed for nonstationary acceleration signal decomposition.•Integration errors and nonzero initial conditions are compensated through optimization.•Track irregularities are identified...
Gespeichert in:
| Veröffentlicht in: | Mechanical systems and signal processing Jg. 235; S. 112958 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier Ltd
15.07.2025
|
| Schlagworte: | |
| ISSN: | 0888-3270 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | •A novel algorithm embedding automatic detrending in numerical integration is developed.•Parameter-adaptive VMD is designed for nonstationary acceleration signal decomposition.•Integration errors and nonzero initial conditions are compensated through optimization.•Track irregularities are identified using axle box or bogie acceleration measurements.•Identified track irregularities provide multi-resolution adaptive representation.
A persistent challenge in acceleration-based methods for identifying track irregularities lies in the trend issue that arises during measurement and numerical integration, which has yet to be effectively and adaptively addressed. This paper develops a novel detrending numerical integration algorithm that embeds the detrending process directly into the integration procedure. The algorithm combines parameter-adaptive variational mode decomposition and progressive filtering to remove trends present in the original acceleration signals. Numerical integration formulae with four variable parameters are designed to compensate for integration errors and nonzero initial conditions, with parameter optimization achieved through a particle swarm algorithm. Furthermore, the paper proposes a method for identifying vertical track irregularities using axle box or bogie accelerations based on the detrending integration algorithm, with explicit formulae derived for time-domain estimation based on the inverse dynamic model. The proposed algorithm and method are validated through numerical cases and field experiments, demonstrating that the identified vertical track irregularities not only achieve high accuracy but also offer multi-resolution adaptive representation, with the potential to enhance the detection and localization of track faults. |
|---|---|
| AbstractList | •A novel algorithm embedding automatic detrending in numerical integration is developed.•Parameter-adaptive VMD is designed for nonstationary acceleration signal decomposition.•Integration errors and nonzero initial conditions are compensated through optimization.•Track irregularities are identified using axle box or bogie acceleration measurements.•Identified track irregularities provide multi-resolution adaptive representation.
A persistent challenge in acceleration-based methods for identifying track irregularities lies in the trend issue that arises during measurement and numerical integration, which has yet to be effectively and adaptively addressed. This paper develops a novel detrending numerical integration algorithm that embeds the detrending process directly into the integration procedure. The algorithm combines parameter-adaptive variational mode decomposition and progressive filtering to remove trends present in the original acceleration signals. Numerical integration formulae with four variable parameters are designed to compensate for integration errors and nonzero initial conditions, with parameter optimization achieved through a particle swarm algorithm. Furthermore, the paper proposes a method for identifying vertical track irregularities using axle box or bogie accelerations based on the detrending integration algorithm, with explicit formulae derived for time-domain estimation based on the inverse dynamic model. The proposed algorithm and method are validated through numerical cases and field experiments, demonstrating that the identified vertical track irregularities not only achieve high accuracy but also offer multi-resolution adaptive representation, with the potential to enhance the detection and localization of track faults. |
| ArticleNumber | 112958 |
| Author | Liang, Hao Xu, You-Lin Dai, Baorui Li, Qi |
| Author_xml | – sequence: 1 givenname: Baorui orcidid: 0000-0002-2612-3362 surname: Dai fullname: Dai, Baorui organization: Institute of Smart City and Intelligent Transportation, Southwest Jiaotong University, Chengdu 611756, China – sequence: 2 givenname: You-Lin orcidid: 0000-0002-1460-082X surname: Xu fullname: Xu, You-Lin email: ceylxu@swjtu.edu.cn organization: Department of Bridge Engineering, School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China – sequence: 3 givenname: Qi orcidid: 0000-0002-4635-5128 surname: Li fullname: Li, Qi organization: Department of Bridge Engineering, College of Civil Engineering, Tongji University, Shanghai 200092, China – sequence: 4 givenname: Hao surname: Liang fullname: Liang, Hao organization: Department of Bridge Engineering, College of Civil Engineering, Tongji University, Shanghai 200092, China |
| BookMark | eNp9kE1OwzAQhb0oEm3hBGx8gZSxkzTJggWq-JMqsQG2lmOPU5fEqWy3qCfg2qRN12xmRpr33oy-GZm43iEhdwwWDNjyfrs4diHsFhx4vmCMV3k5IVMoyzJJeQHXZBbCFgCqDJZT8vuFPlolWxq9VN_Ueo_NvpXexiO1Gl20ZlhH2ztay4CaDoOkGqNHp61rqNt36M8J1kVs_KiVbdMPGZuO_gyVHnBjVYtUKoUtXjQdyrD32A1Hwg25MrINeHvpc_L5_PSxek3W7y9vq8d1oniex6SUyBXkaaZ4xRRApquSZTU3pkAFdcWLpdR5iYqZQkOOZSFzqA2rWQ1Flpp0TtIxV_k-BI9G7LztpD8KBuLET2zFmZ848RMjv8H1MLpweO1g0YugLDqF2npUUeje_uv_AzQIg2c |
| Cites_doi | 10.3390/s24092861 10.1002/(SICI)1097-0207(19961230)39:24<4199::AID-NME39>3.0.CO;2-Y 10.1007/978-3-030-91877-4_129 10.1109/TPAS.1979.319271 10.1016/j.measurement.2020.108556 10.1016/j.ymssp.2019.106582 10.1080/00423114.2019.1711137 10.1016/j.measurement.2018.08.023 10.1016/j.isatra.2020.12.041 10.1080/00423114.2021.1957127 10.1109/ACCESS.2021.3073606 10.1109/TSP.2016.2549985 10.1016/j.measurement.2015.11.033 10.3390/infrastructures8020026 10.1109/JSEN.2022.3218182 10.1016/j.ymssp.2021.107667 10.1016/j.ymssp.2019.04.025 10.1080/00423114.2023.2200193 10.1109/TSP.2013.2288675 10.1177/1475921717744479 10.1109/TIM.2011.2170377 10.1007/s00500-016-2474-6 10.1016/j.trgeo.2022.100925 10.1080/00423114.2021.1999480 10.1179/147842208X338956 10.1016/j.conbuildmat.2017.09.007 10.1016/j.ymssp.2018.06.041 10.1007/978-3-030-38077-9_19 10.1016/j.ymssp.2021.108625 10.1016/j.trgeo.2020.100397 10.1016/j.measurement.2022.111637 10.1080/00423114.2015.1037312 10.1016/j.ymssp.2015.04.031 10.1016/j.ymssp.2022.109549 10.1016/j.jsv.2021.116122 10.1016/j.engappai.2023.107191 10.1080/00423114.2022.2037669 10.1016/j.measurement.2014.09.004 |
| ContentType | Journal Article |
| Copyright | 2025 Elsevier Ltd |
| Copyright_xml | – notice: 2025 Elsevier Ltd |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.ymssp.2025.112958 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| ExternalDocumentID | 10_1016_j_ymssp_2025_112958 S0888327025006594 |
| GroupedDBID | --K --M .~1 0R~ 1B1 1~. 1~5 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JN AAEDT AAEDW AAIKJ AAKOC AALRI AAOAW AAQFI AATTM AAXKI AAXUO AAYFN AAYWO ABBOA ABJNI ABMAC ACDAQ ACGFS ACRLP ACVFH ACZNC ADBBV ADCNI ADEZE ADTZH AEBSH AECPX AEIPS AEKER AENEX AEUPX AFJKZ AFPUW AFTJW AFXIZ AGCQF AGHFR AGRNS AGUBO AGYEJ AHHHB AHJVU AHZHX AIALX AIEXJ AIGII AIIUN AIKHN AITUG AKBMS AKRWK AKYEP ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU AOUOD APXCP AXJTR BJAXD BKOJK BLXMC BNPGV CS3 DM4 DU5 EBS EFBJH EO8 EO9 EP2 EP3 F5P FDB FIRID FNPLU FYGXN G-Q GBLVA GBOLZ IHE J1W JJJVA KOM LG5 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 ROL RPZ SDF SDG SDP SES SEW SPC SPCBC SPD SSH SST SSV SSZ T5K XPP ZMT ZU3 ~G- 29M 9DU AAQXK AAYXX ABDPE ABEFU ABFNM ABWVN ABXDB ACLOT ACNNM ACRPL ADFGL ADJOM ADMUD ADNMO AGQPQ ASPBG AVWKF AZFZN CAG CITATION COF EFKBS EFLBG EJD FEDTE FGOYB G-2 HLZ HVGLF HZ~ LG9 LY7 R2- SBC SET WUQ ~HD |
| ID | FETCH-LOGICAL-c255t-8ae2c0534c291c004d9814b2ff7ec0b9276ad58ec1f7d05e87a50bf1b1b0743f3 |
| ISICitedReferencesCount | 1 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001507057800002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0888-3270 |
| IngestDate | Sat Nov 29 06:57:13 EST 2025 Sat Jul 05 17:11:17 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Detrending numerical integration Inverse dynamic model Parameter-adaptive VMD Track irregularity identification Vehicle acceleration measurements |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c255t-8ae2c0534c291c004d9814b2ff7ec0b9276ad58ec1f7d05e87a50bf1b1b0743f3 |
| ORCID | 0000-0002-4635-5128 0000-0002-1460-082X 0000-0002-2612-3362 |
| ParticipantIDs | crossref_primary_10_1016_j_ymssp_2025_112958 elsevier_sciencedirect_doi_10_1016_j_ymssp_2025_112958 |
| PublicationCentury | 2000 |
| PublicationDate | 2025-07-15 |
| PublicationDateYYYYMMDD | 2025-07-15 |
| PublicationDate_xml | – month: 07 year: 2025 text: 2025-07-15 day: 15 |
| PublicationDecade | 2020 |
| PublicationTitle | Mechanical systems and signal processing |
| PublicationYear | 2025 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Wang, Zeng, Feng, Li (b0060) 2024 Sun, Yang, Li, Zhang, Jing (b0005) 2023; 38 Wang, Berkers, van den Hurk, Layegh (b0030) 2021; 169 Hao, Yang, Yang, Sun, Hou, Wang (b0105) 2023; 61 Ning, Lin, Zhang (b0160) 2016; 66 Dertimanis, Zimmermann, Corman, Chatzi (b0220) 2020 Lee, Choi, Kim, Park, Kim (b0140) 2011; 61 Xiao, Sun, Shen (b0130) 2020; 138 OBrien, Quirke, Bowe, Cantero (b0125) 2018; 17 Sol-Sánchez, D'angelo (b0010) 2017; 157 Muñoz, Ros, Urda, Escalona (b0085) 2021; 9 Zhai (b0195) 1996; 39 Muñoz, Ros, Urda, Escalona (b0115) 2021; 504 Xiao, Xu, Shen (b0110) 2022; 148 Li, Wu, Liu, Li, Zhang, Zhou, Huang (b0175) 2022; 201 De Rosa, Alfi, Bruni (b0120) 2019; 116 X. Liu, S. Ma, Z. Wei, B. Zhang, A Study on the Correlation Between Measured Track Irregularities and Vehicle Responses in High-Speed Lines, Advances in Dynamics of Vehicles on Roads and Tracks: Proceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden, Springer, 2020, pp. 154-163. Yang, Liu, Wang (b0155) 2021; 59 Bosso, Bracciali, Megna, Zampieri (b0020) 2023; 61 Xu, Zhai (b0205) 2019; 132 Charalampidis (b0200) 2016; 64 Fischer, Liegner, Bocz, Vinkó, Terdik (b0025) 2023; 8 Lu, Cai (b0015) 2020; 25 Matsuoka, Tanaka (b0050) 2023; 182 Brandt, Brincker (b0210) 2014; 58 Pires, Viana, Scaramussa, Santos, Ramos, Santos (b0065) 2024; 127 Yuan, Luo, Zhu, Zhai (b0070) 2022; 60 Xiao, Shen, He (b0090) 2021; 147 Huang, Qiu, Guo (b0145) 2010; 45 Muñoz, Urda, Escalona (b0135) 2022; 169 Wang, Tan, Liu (b0180) 2018; 22 Alvarado (b0215) 1979 Guo, Li, Luo, Cao (b0055) 2024; 62 Wei, Liu, Jia (b0045) 2016; 80 Smulko (b0170) 2019; 131 Matsuoka, Tanaka, Kawasaki, Somaschini, Collina (b0035) 2021; 158 Dragomiretskiy, Zosso (b0165) 2013; 62 Dai, Frusque, Li, Fink (b0190) 2022; 22 Strano, Terzo, Tordela (b0095) 2023 Peng, Zheng, Li, Wang, Zhong (b0040) 2020; 70 Haigermoser, Luber, Rauh, Gräfe (b0080) 2015; 53 Yang, Liu, Guo, Tao (b0075) 2024; 24 Dibaj, Hassannejad, Ettefagh, Ehghaghi (b0185) 2021; 114 C. Zhou, D. Xiao, J. Hu, Y. Yang, B. Li, S. Hu, C. Demartino, M. Butala. An example of digital twins for bridge monitoring and maintenance: preliminary results, Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures: EUROSTRUCT 2021 1, Springer, 2022, pp. 1134-1143. Sun (10.1016/j.ymssp.2025.112958_b0005) 2023; 38 Xiao (10.1016/j.ymssp.2025.112958_b0130) 2020; 138 Sol-Sánchez (10.1016/j.ymssp.2025.112958_b0010) 2017; 157 Xiao (10.1016/j.ymssp.2025.112958_b0090) 2021; 147 Dertimanis (10.1016/j.ymssp.2025.112958_b0220) 2020 Yuan (10.1016/j.ymssp.2025.112958_b0070) 2022; 60 Wang (10.1016/j.ymssp.2025.112958_b0180) 2018; 22 Dibaj (10.1016/j.ymssp.2025.112958_b0185) 2021; 114 10.1016/j.ymssp.2025.112958_b0150 Dragomiretskiy (10.1016/j.ymssp.2025.112958_b0165) 2013; 62 Muñoz (10.1016/j.ymssp.2025.112958_b0115) 2021; 504 Bosso (10.1016/j.ymssp.2025.112958_b0020) 2023; 61 OBrien (10.1016/j.ymssp.2025.112958_b0125) 2018; 17 Charalampidis (10.1016/j.ymssp.2025.112958_b0200) 2016; 64 Dai (10.1016/j.ymssp.2025.112958_b0190) 2022; 22 Lu (10.1016/j.ymssp.2025.112958_b0015) 2020; 25 Wang (10.1016/j.ymssp.2025.112958_b0030) 2021; 169 Muñoz (10.1016/j.ymssp.2025.112958_b0135) 2022; 169 Ning (10.1016/j.ymssp.2025.112958_b0160) 2016; 66 Pires (10.1016/j.ymssp.2025.112958_b0065) 2024; 127 Strano (10.1016/j.ymssp.2025.112958_b0095) 2023 Huang (10.1016/j.ymssp.2025.112958_b0145) 2010; 45 Wei (10.1016/j.ymssp.2025.112958_b0045) 2016; 80 Yang (10.1016/j.ymssp.2025.112958_b0155) 2021; 59 Matsuoka (10.1016/j.ymssp.2025.112958_b0035) 2021; 158 Xu (10.1016/j.ymssp.2025.112958_b0205) 2019; 132 Matsuoka (10.1016/j.ymssp.2025.112958_b0050) 2023; 182 Guo (10.1016/j.ymssp.2025.112958_b0055) 2024; 62 Zhai (10.1016/j.ymssp.2025.112958_b0195) 1996; 39 10.1016/j.ymssp.2025.112958_b0100 Muñoz (10.1016/j.ymssp.2025.112958_b0085) 2021; 9 Haigermoser (10.1016/j.ymssp.2025.112958_b0080) 2015; 53 Yang (10.1016/j.ymssp.2025.112958_b0075) 2024; 24 Fischer (10.1016/j.ymssp.2025.112958_b0025) 2023; 8 De Rosa (10.1016/j.ymssp.2025.112958_b0120) 2019; 116 Hao (10.1016/j.ymssp.2025.112958_b0105) 2023; 61 Li (10.1016/j.ymssp.2025.112958_b0175) 2022; 201 Xiao (10.1016/j.ymssp.2025.112958_b0110) 2022; 148 Smulko (10.1016/j.ymssp.2025.112958_b0170) 2019; 131 Brandt (10.1016/j.ymssp.2025.112958_b0210) 2014; 58 Peng (10.1016/j.ymssp.2025.112958_b0040) 2020; 70 Wang (10.1016/j.ymssp.2025.112958_b0060) 2024 Alvarado (10.1016/j.ymssp.2025.112958_b0215) 1979 Lee (10.1016/j.ymssp.2025.112958_b0140) 2011; 61 |
| References_xml | – start-page: 1 year: 2023 end-page: 29 ident: b0095 article-title: Output-only estimation of lateral wheel-rail contact forces and track irregularities publication-title: Veh. Syst. Dyn. – volume: 61 start-page: 749 year: 2011 end-page: 758 ident: b0140 article-title: A mixed filtering approach for track condition monitoring using accelerometers on the axle box and bogie publication-title: IEEE Trans. Instrum. Meas. – start-page: 1080 year: 1979 end-page: 1090 ident: b0215 article-title: Parallel solution of transient problems by trapezoidal integration publication-title: IEEE Trans. Power Syst. – volume: 70 start-page: 1 year: 2020 end-page: 15 ident: b0040 article-title: A comprehensive detection system for track geometry using fused vision and inertia publication-title: IEEE Trans. Instrum. Meas. – volume: 22 start-page: 24140 year: 2022 end-page: 24149 ident: b0190 article-title: Acceleration-guided acoustic signal denoising framework based on learnable wavelet transform applied to slab track condition monitoring publication-title: IEEE Sens. J. – volume: 9 start-page: 60010 year: 2021 end-page: 60025 ident: b0085 article-title: Estimation of lateral track irregularity through Kalman filtering techniques publication-title: IEEE Access – volume: 24 start-page: 2861 year: 2024 ident: b0075 article-title: Track irregularity identification method of high-speed railway based on CNN-bi-LSTM publication-title: Sensors – volume: 45 start-page: 288 year: 2010 end-page: 294 ident: b0145 article-title: Comparison of polynomial fitting and wavelet transform to remove drift in electrochemical noise analysis publication-title: Corros. Eng. Sci. Technol. – start-page: 1 year: 2024 end-page: 28 ident: b0060 article-title: Track vertical irregularity estimation for railway bridges using a novel and lightweight deep-learning architecture publication-title: Veh. Syst. Dyn. – volume: 131 start-page: 569 year: 2019 end-page: 581 ident: b0170 article-title: Methods of trend removal in electrochemical noise data–overview publication-title: Measurement – volume: 114 start-page: 413 year: 2021 end-page: 433 ident: b0185 article-title: Incipient fault diagnosis of bearings based on parameter-optimized VMD and envelope spectrum weighted kurtosis index with a new sensitivity assessment threshold publication-title: ISA Trans. – volume: 17 start-page: 1425 year: 2018 end-page: 1440 ident: b0125 article-title: Determination of railway track longitudinal profile using measured inertial response of an in-service railway vehicle publication-title: Struct. Health Monit. – volume: 64 start-page: 3554 year: 2016 end-page: 3565 ident: b0200 article-title: Recursive implementation of the Gaussian filter using truncated cosine functions publication-title: IEEE Trans. Signal Process. – reference: C. Zhou, D. Xiao, J. Hu, Y. Yang, B. Li, S. Hu, C. Demartino, M. Butala. An example of digital twins for bridge monitoring and maintenance: preliminary results, Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures: EUROSTRUCT 2021 1, Springer, 2022, pp. 1134-1143. – volume: 61 start-page: 239 year: 2023 end-page: 259 ident: b0105 article-title: Track geometry estimation from vehicle–body acceleration for high-speed railway using deep learning technique publication-title: Veh. Syst. Dyn. – volume: 61 start-page: 782 year: 2023 end-page: 798 ident: b0020 article-title: Effects of geometric track irregularities on vehicle dynamic behaviour when running through a turnout publication-title: Veh. Syst. Dyn. – volume: 127 year: 2024 ident: b0065 article-title: Measuring vertical track irregularities from instrumented heavy haul railway vehicle data using machine learning publication-title: Eng. Appl. Artif. Intel. – volume: 39 start-page: 4199 year: 1996 end-page: 4214 ident: b0195 article-title: Two simple fast integration methods for large‐scale dynamic problems in engineering publication-title: Int. J. Numer. Meth. Eng. – volume: 53 start-page: 878 year: 2015 end-page: 957 ident: b0080 article-title: Road and track irregularities: measurement, assessment and simulation publication-title: Veh. Syst. Dyn. – volume: 158 year: 2021 ident: b0035 article-title: Drive-by methodology to identify resonant bridges using track irregularity measured by high-speed trains publication-title: Mech. Syst. Sig. Process. – volume: 157 start-page: 402 year: 2017 end-page: 415 ident: b0010 article-title: Review of the design and maintenance technologies used to decelerate the deterioration of ballasted railway tracks publication-title: Constr. Build. Mater. – volume: 138 year: 2020 ident: b0130 article-title: A Kalman filter algorithm for identifying track irregularities of railway bridges using vehicle dynamic responses publication-title: Mech. Syst. Sig. Process. – volume: 60 start-page: 4186 year: 2022 end-page: 4205 ident: b0070 article-title: A Wasserstein generative adversarial network-based approach for real-time track irregularity estimation using vehicle dynamic responses publication-title: Veh. Syst. Dyn. – volume: 62 start-page: 906 year: 2024 end-page: 931 ident: b0055 article-title: Identification of track irregularities with the multi-sensor acceleration measurements of vehicle dynamic responses publication-title: Veh. Syst. Dyn. – volume: 504 year: 2021 ident: b0115 article-title: Estimation of lateral track irregularity using a Kalman filter. Experimental validation publication-title: J. Sound Vib. – volume: 25 year: 2020 ident: b0015 article-title: Overview on safety management and maintenance of high-speed railway in China publication-title: Transp. Geotech. – volume: 38 year: 2023 ident: b0005 article-title: Investigation of a dynamic chord method and its application on track irregularity evaluation and track maintenance publication-title: Transp. Geotech. – volume: 116 start-page: 606 year: 2019 end-page: 623 ident: b0120 article-title: Estimation of lateral and cross alignment in a railway track based on vehicle dynamics measurements publication-title: Mech. Syst. Sig. Process. – volume: 169 year: 2021 ident: b0030 article-title: Study of loaded versus unloaded measurements in railway track inspection publication-title: Measurement – volume: 182 year: 2023 ident: b0050 article-title: Drive-by deflection estimation method for simple support bridges based on track irregularities measured on a traveling train publication-title: Mech. Syst. Sig. Process. – volume: 62 start-page: 531 year: 2013 end-page: 544 ident: b0165 article-title: Variational mode decomposition publication-title: IEEE Trans. Signal Process. – volume: 59 start-page: 719 year: 2021 end-page: 742 ident: b0155 article-title: Time–frequency characteristic analysis method for track geometry irregularities based on multivariate empirical mode decomposition and Hilbert spectral analysis publication-title: Veh. Syst. Dyn. – volume: 8 start-page: 26 year: 2023 ident: b0025 article-title: Investigation of track gauge and alignment parameters of ballasted railway tracks based on real measurements using signal processing techniques publication-title: Infrastructures – volume: 148 year: 2022 ident: b0110 article-title: Identification of frequencies and track irregularities of railway bridges using vehicle responses: a recursive Bayesian Kalman filter algorithm publication-title: J. Eng. Mech. – volume: 169 year: 2022 ident: b0135 article-title: Experimental measurement of track irregularities using a scaled track recording vehicle and Kalman filtering techniques publication-title: Mech. Syst. Sig. Process. – volume: 132 start-page: 471 year: 2019 end-page: 489 ident: b0205 article-title: A three-dimensional model for train-track-bridge dynamic interactions with hypothesis of wheel-rail rigid contact publication-title: Mech. Syst. Sig. Process. – volume: 66 start-page: 339 year: 2016 end-page: 348 ident: b0160 article-title: Time–frequency processing of track irregularities in high-speed train publication-title: Mech. Syst. Sig. Process. – volume: 201 year: 2022 ident: b0175 article-title: Composite fault diagnosis for rolling bearing based on parameter-optimized VMD publication-title: Measurement – volume: 147 year: 2021 ident: b0090 article-title: Track irregularity monitoring on high-speed railway viaducts: a novel algorithm with unknown input condensation publication-title: J. Eng. Mech. – volume: 58 start-page: 511 year: 2014 end-page: 519 ident: b0210 article-title: Integrating time signals in frequency domain–Comparison with time domain integration publication-title: Measurement – start-page: 167 year: 2020 end-page: 171 ident: b0220 article-title: On-board monitoring of rail roughness via axle box accelerations of revenue trains with uncertain dynamics, model validation and uncertainty quantification, volume 3 publication-title: Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics 2019 – reference: X. Liu, S. Ma, Z. Wei, B. Zhang, A Study on the Correlation Between Measured Track Irregularities and Vehicle Responses in High-Speed Lines, Advances in Dynamics of Vehicles on Roads and Tracks: Proceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden, Springer, 2020, pp. 154-163. – volume: 22 start-page: 387 year: 2018 end-page: 408 ident: b0180 article-title: Particle swarm optimization algorithm: an overview publication-title: Soft. Comput. – volume: 80 start-page: 217 year: 2016 end-page: 228 ident: b0045 article-title: Urban rail track condition monitoring based on in-service vehicle acceleration measurements publication-title: Measurement – volume: 24 start-page: 2861 year: 2024 ident: 10.1016/j.ymssp.2025.112958_b0075 article-title: Track irregularity identification method of high-speed railway based on CNN-bi-LSTM publication-title: Sensors doi: 10.3390/s24092861 – volume: 39 start-page: 4199 year: 1996 ident: 10.1016/j.ymssp.2025.112958_b0195 article-title: Two simple fast integration methods for large‐scale dynamic problems in engineering publication-title: Int. J. Numer. Meth. Eng. doi: 10.1002/(SICI)1097-0207(19961230)39:24<4199::AID-NME39>3.0.CO;2-Y – ident: 10.1016/j.ymssp.2025.112958_b0100 doi: 10.1007/978-3-030-91877-4_129 – volume: 148 year: 2022 ident: 10.1016/j.ymssp.2025.112958_b0110 article-title: Identification of frequencies and track irregularities of railway bridges using vehicle responses: a recursive Bayesian Kalman filter algorithm publication-title: J. Eng. Mech. – start-page: 1080 year: 1979 ident: 10.1016/j.ymssp.2025.112958_b0215 article-title: Parallel solution of transient problems by trapezoidal integration publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPAS.1979.319271 – volume: 169 year: 2021 ident: 10.1016/j.ymssp.2025.112958_b0030 article-title: Study of loaded versus unloaded measurements in railway track inspection publication-title: Measurement doi: 10.1016/j.measurement.2020.108556 – volume: 138 year: 2020 ident: 10.1016/j.ymssp.2025.112958_b0130 article-title: A Kalman filter algorithm for identifying track irregularities of railway bridges using vehicle dynamic responses publication-title: Mech. Syst. Sig. Process. doi: 10.1016/j.ymssp.2019.106582 – volume: 59 start-page: 719 year: 2021 ident: 10.1016/j.ymssp.2025.112958_b0155 article-title: Time–frequency characteristic analysis method for track geometry irregularities based on multivariate empirical mode decomposition and Hilbert spectral analysis publication-title: Veh. Syst. Dyn. doi: 10.1080/00423114.2019.1711137 – volume: 131 start-page: 569 year: 2019 ident: 10.1016/j.ymssp.2025.112958_b0170 article-title: Methods of trend removal in electrochemical noise data–overview publication-title: Measurement doi: 10.1016/j.measurement.2018.08.023 – volume: 147 year: 2021 ident: 10.1016/j.ymssp.2025.112958_b0090 article-title: Track irregularity monitoring on high-speed railway viaducts: a novel algorithm with unknown input condensation publication-title: J. Eng. Mech. – volume: 114 start-page: 413 year: 2021 ident: 10.1016/j.ymssp.2025.112958_b0185 article-title: Incipient fault diagnosis of bearings based on parameter-optimized VMD and envelope spectrum weighted kurtosis index with a new sensitivity assessment threshold publication-title: ISA Trans. doi: 10.1016/j.isatra.2020.12.041 – volume: 61 start-page: 782 year: 2023 ident: 10.1016/j.ymssp.2025.112958_b0020 article-title: Effects of geometric track irregularities on vehicle dynamic behaviour when running through a turnout publication-title: Veh. Syst. Dyn. doi: 10.1080/00423114.2021.1957127 – volume: 70 start-page: 1 year: 2020 ident: 10.1016/j.ymssp.2025.112958_b0040 article-title: A comprehensive detection system for track geometry using fused vision and inertia publication-title: IEEE Trans. Instrum. Meas. – volume: 9 start-page: 60010 year: 2021 ident: 10.1016/j.ymssp.2025.112958_b0085 article-title: Estimation of lateral track irregularity through Kalman filtering techniques publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3073606 – volume: 64 start-page: 3554 year: 2016 ident: 10.1016/j.ymssp.2025.112958_b0200 article-title: Recursive implementation of the Gaussian filter using truncated cosine functions publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2016.2549985 – volume: 80 start-page: 217 year: 2016 ident: 10.1016/j.ymssp.2025.112958_b0045 article-title: Urban rail track condition monitoring based on in-service vehicle acceleration measurements publication-title: Measurement doi: 10.1016/j.measurement.2015.11.033 – volume: 8 start-page: 26 year: 2023 ident: 10.1016/j.ymssp.2025.112958_b0025 article-title: Investigation of track gauge and alignment parameters of ballasted railway tracks based on real measurements using signal processing techniques publication-title: Infrastructures doi: 10.3390/infrastructures8020026 – volume: 22 start-page: 24140 year: 2022 ident: 10.1016/j.ymssp.2025.112958_b0190 article-title: Acceleration-guided acoustic signal denoising framework based on learnable wavelet transform applied to slab track condition monitoring publication-title: IEEE Sens. J. doi: 10.1109/JSEN.2022.3218182 – volume: 158 year: 2021 ident: 10.1016/j.ymssp.2025.112958_b0035 article-title: Drive-by methodology to identify resonant bridges using track irregularity measured by high-speed trains publication-title: Mech. Syst. Sig. Process. doi: 10.1016/j.ymssp.2021.107667 – volume: 132 start-page: 471 year: 2019 ident: 10.1016/j.ymssp.2025.112958_b0205 article-title: A three-dimensional model for train-track-bridge dynamic interactions with hypothesis of wheel-rail rigid contact publication-title: Mech. Syst. Sig. Process. doi: 10.1016/j.ymssp.2019.04.025 – start-page: 1 year: 2023 ident: 10.1016/j.ymssp.2025.112958_b0095 article-title: Output-only estimation of lateral wheel-rail contact forces and track irregularities publication-title: Veh. Syst. Dyn. – volume: 62 start-page: 906 year: 2024 ident: 10.1016/j.ymssp.2025.112958_b0055 article-title: Identification of track irregularities with the multi-sensor acceleration measurements of vehicle dynamic responses publication-title: Veh. Syst. Dyn. doi: 10.1080/00423114.2023.2200193 – volume: 62 start-page: 531 year: 2013 ident: 10.1016/j.ymssp.2025.112958_b0165 article-title: Variational mode decomposition publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2013.2288675 – volume: 17 start-page: 1425 year: 2018 ident: 10.1016/j.ymssp.2025.112958_b0125 article-title: Determination of railway track longitudinal profile using measured inertial response of an in-service railway vehicle publication-title: Struct. Health Monit. doi: 10.1177/1475921717744479 – volume: 61 start-page: 749 year: 2011 ident: 10.1016/j.ymssp.2025.112958_b0140 article-title: A mixed filtering approach for track condition monitoring using accelerometers on the axle box and bogie publication-title: IEEE Trans. Instrum. Meas. doi: 10.1109/TIM.2011.2170377 – volume: 22 start-page: 387 year: 2018 ident: 10.1016/j.ymssp.2025.112958_b0180 article-title: Particle swarm optimization algorithm: an overview publication-title: Soft. Comput. doi: 10.1007/s00500-016-2474-6 – volume: 38 year: 2023 ident: 10.1016/j.ymssp.2025.112958_b0005 article-title: Investigation of a dynamic chord method and its application on track irregularity evaluation and track maintenance publication-title: Transp. Geotech. doi: 10.1016/j.trgeo.2022.100925 – volume: 60 start-page: 4186 year: 2022 ident: 10.1016/j.ymssp.2025.112958_b0070 article-title: A Wasserstein generative adversarial network-based approach for real-time track irregularity estimation using vehicle dynamic responses publication-title: Veh. Syst. Dyn. doi: 10.1080/00423114.2021.1999480 – volume: 45 start-page: 288 year: 2010 ident: 10.1016/j.ymssp.2025.112958_b0145 article-title: Comparison of polynomial fitting and wavelet transform to remove drift in electrochemical noise analysis publication-title: Corros. Eng. Sci. Technol. doi: 10.1179/147842208X338956 – volume: 157 start-page: 402 year: 2017 ident: 10.1016/j.ymssp.2025.112958_b0010 article-title: Review of the design and maintenance technologies used to decelerate the deterioration of ballasted railway tracks publication-title: Constr. Build. Mater. doi: 10.1016/j.conbuildmat.2017.09.007 – start-page: 1 year: 2024 ident: 10.1016/j.ymssp.2025.112958_b0060 article-title: Track vertical irregularity estimation for railway bridges using a novel and lightweight deep-learning architecture publication-title: Veh. Syst. Dyn. – volume: 116 start-page: 606 year: 2019 ident: 10.1016/j.ymssp.2025.112958_b0120 article-title: Estimation of lateral and cross alignment in a railway track based on vehicle dynamics measurements publication-title: Mech. Syst. Sig. Process. doi: 10.1016/j.ymssp.2018.06.041 – ident: 10.1016/j.ymssp.2025.112958_b0150 doi: 10.1007/978-3-030-38077-9_19 – volume: 169 year: 2022 ident: 10.1016/j.ymssp.2025.112958_b0135 article-title: Experimental measurement of track irregularities using a scaled track recording vehicle and Kalman filtering techniques publication-title: Mech. Syst. Sig. Process. doi: 10.1016/j.ymssp.2021.108625 – volume: 25 year: 2020 ident: 10.1016/j.ymssp.2025.112958_b0015 article-title: Overview on safety management and maintenance of high-speed railway in China publication-title: Transp. Geotech. doi: 10.1016/j.trgeo.2020.100397 – volume: 201 year: 2022 ident: 10.1016/j.ymssp.2025.112958_b0175 article-title: Composite fault diagnosis for rolling bearing based on parameter-optimized VMD publication-title: Measurement doi: 10.1016/j.measurement.2022.111637 – start-page: 167 year: 2020 ident: 10.1016/j.ymssp.2025.112958_b0220 article-title: On-board monitoring of rail roughness via axle box accelerations of revenue trains with uncertain dynamics, model validation and uncertainty quantification, volume 3 – volume: 53 start-page: 878 year: 2015 ident: 10.1016/j.ymssp.2025.112958_b0080 article-title: Road and track irregularities: measurement, assessment and simulation publication-title: Veh. Syst. Dyn. doi: 10.1080/00423114.2015.1037312 – volume: 66 start-page: 339 year: 2016 ident: 10.1016/j.ymssp.2025.112958_b0160 article-title: Time–frequency processing of track irregularities in high-speed train publication-title: Mech. Syst. Sig. Process. doi: 10.1016/j.ymssp.2015.04.031 – volume: 182 year: 2023 ident: 10.1016/j.ymssp.2025.112958_b0050 article-title: Drive-by deflection estimation method for simple support bridges based on track irregularities measured on a traveling train publication-title: Mech. Syst. Sig. Process. doi: 10.1016/j.ymssp.2022.109549 – volume: 504 year: 2021 ident: 10.1016/j.ymssp.2025.112958_b0115 article-title: Estimation of lateral track irregularity using a Kalman filter. Experimental validation publication-title: J. Sound Vib. doi: 10.1016/j.jsv.2021.116122 – volume: 127 year: 2024 ident: 10.1016/j.ymssp.2025.112958_b0065 article-title: Measuring vertical track irregularities from instrumented heavy haul railway vehicle data using machine learning publication-title: Eng. Appl. Artif. Intel. doi: 10.1016/j.engappai.2023.107191 – volume: 61 start-page: 239 year: 2023 ident: 10.1016/j.ymssp.2025.112958_b0105 article-title: Track geometry estimation from vehicle–body acceleration for high-speed railway using deep learning technique publication-title: Veh. Syst. Dyn. doi: 10.1080/00423114.2022.2037669 – volume: 58 start-page: 511 year: 2014 ident: 10.1016/j.ymssp.2025.112958_b0210 article-title: Integrating time signals in frequency domain–Comparison with time domain integration publication-title: Measurement doi: 10.1016/j.measurement.2014.09.004 |
| SSID | ssj0009406 |
| Score | 2.4666264 |
| Snippet | •A novel algorithm embedding automatic detrending in numerical integration is developed.•Parameter-adaptive VMD is designed for nonstationary acceleration... |
| SourceID | crossref elsevier |
| SourceType | Index Database Publisher |
| StartPage | 112958 |
| SubjectTerms | Detrending numerical integration Inverse dynamic model Parameter-adaptive VMD Track irregularity identification Vehicle acceleration measurements |
| Title | Vertical track irregularity identification based on a detrending numerical integration algorithm with vehicle acceleration measurements |
| URI | https://dx.doi.org/10.1016/j.ymssp.2025.112958 |
| Volume | 235 |
| WOSCitedRecordID | wos001507057800002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 issn: 0888-3270 databaseCode: AIEXJ dateStart: 19950101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: false ssIdentifier: ssj0009406 providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELaWLQd6QDxFy0M-cFtSbbx5HitUVFCpQCpob5Ht2DRlN6mym1X5BfyU_s3O2HGSUlTRA5coa3kdK_NlZjxPQt5OI8VyHeWeFknkBSGPPBGK1Es4jEY850KbriVH8fFxMp-nX0ajS5cLs1nEZZlcXKTn_5XUMAbExtTZO5C7WxQG4B6IDlcgO1z_ifDfTaS0iSHn8uekqGvTbh6b1E2KvA0OsmRHEZaju4BPcrXG6Fg0HJSN9eIsuloSJmR58aOCNU6X1nS7Uaf44AmXEgRXO2fZGxxXQ633s8L8YpuAaSukG58Fxo5gIpjNVXAy1JjNC-sLqeqmcIPzxoiLqvGOij6OyEz8WvS_W_v3Ia-GBg0WoqXUpnR2fC_xZsz2E3FMms3CAZtFJdFWfL8hAawx4mzv13K1wnqkLNzrZ1-vt_2HHOyiE13g21lmFslwkcwuco9ssThMkzHZ2v94MP_U13cOTBvXbu-uwJUJJbyxl78rQQPF5uQRedieSOi-RdJjMlLlE7I9qFP5lPx2mKIGU3SIKXodU9RgisINpz2maIcpOsAU7TBFEVO0xRQdYooOMfWMfPtwcPL-0Gs7eHgSjqpr-OIVk8DmA8lSX8JHmqeJHwimdazkVKQsBnYQJkr6Os6noUpiHk6F9oUvULXVs-dkXFalekFg9xHmjGsQIixIOefo05ZcYnlNDYf4HfLOvdLs3BZqyW4h5A6J3GvPWl3T6pAZAOm2P-7e7TkvyYMe46_IeF036jW5LzfrYlW_aVF0BXieq0Y |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Vertical+track+irregularity+identification+based+on+a+detrending+numerical+integration+algorithm+with+vehicle+acceleration+measurements&rft.jtitle=Mechanical+systems+and+signal+processing&rft.au=Dai%2C+Baorui&rft.au=Xu%2C+You-Lin&rft.au=Li%2C+Qi&rft.au=Liang%2C+Hao&rft.date=2025-07-15&rft.issn=0888-3270&rft.volume=235&rft.spage=112958&rft_id=info:doi/10.1016%2Fj.ymssp.2025.112958&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_ymssp_2025_112958 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0888-3270&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0888-3270&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0888-3270&client=summon |