A novel local linear embedding algorithm via local mutual representation for bearing fault diagnosis
The locally linear embedding algorithm (LLE) mainly extracts significant features by mining the local neighborhood structure of the data. However, when the data exhibit strong nonlinearity in high-dimensional space, the single neighborhood structure of the LLE algorithm may not accurately capture th...
Gespeichert in:
| Veröffentlicht in: | Reliability engineering & system safety Jg. 247; S. 110135 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier Ltd
01.07.2024
|
| Schlagworte: | |
| ISSN: | 0951-8320, 1879-0836 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | The locally linear embedding algorithm (LLE) mainly extracts significant features by mining the local neighborhood structure of the data. However, when the data exhibit strong nonlinearity in high-dimensional space, the single neighborhood structure of the LLE algorithm may not accurately capture the local linear relationships between instances, which degrades the performances of the LLE. Therefore, we propose a multi-structure neighborhood locally linear embedding algorithm via local mutual representation (LMR-LLE). Firstly, in each neighborhood, multiple local neighborhood structures of one instance are mined via local mutual representation to enhance the interconnectivity between the instances. Furthermore, the multiple neighborhood structures are fused in the low-dimensional space to construct a global reconstruction model, and the ultimate significant features are acquired by determining the model’s optimal solution. Finally, the extracted features are fed into a classifier for bearing fault diagnosis. Extensive experiments on two rolling bearing datasets illustrate that the LMR-LLE based diagnosis method has better performance accuracy than conventional LLE-based algorithms.
•A multi-structure neighborhood locally linear embedding algorithm is proposed using local mutual representation.•Features extracted are fed into a classifier for bearing fault diagnosis.•Intensive experiments are implemented on two rolling bearing datasets to demonstrate the performance of the algorithm. |
|---|---|
| AbstractList | The locally linear embedding algorithm (LLE) mainly extracts significant features by mining the local neighborhood structure of the data. However, when the data exhibit strong nonlinearity in high-dimensional space, the single neighborhood structure of the LLE algorithm may not accurately capture the local linear relationships between instances, which degrades the performances of the LLE. Therefore, we propose a multi-structure neighborhood locally linear embedding algorithm via local mutual representation (LMR-LLE). Firstly, in each neighborhood, multiple local neighborhood structures of one instance are mined via local mutual representation to enhance the interconnectivity between the instances. Furthermore, the multiple neighborhood structures are fused in the low-dimensional space to construct a global reconstruction model, and the ultimate significant features are acquired by determining the model’s optimal solution. Finally, the extracted features are fed into a classifier for bearing fault diagnosis. Extensive experiments on two rolling bearing datasets illustrate that the LMR-LLE based diagnosis method has better performance accuracy than conventional LLE-based algorithms.
•A multi-structure neighborhood locally linear embedding algorithm is proposed using local mutual representation.•Features extracted are fed into a classifier for bearing fault diagnosis.•Intensive experiments are implemented on two rolling bearing datasets to demonstrate the performance of the algorithm. |
| ArticleNumber | 110135 |
| Author | Lu, Shixiang Zhang, Fangfang Liu, Yuanhong Gao, Zhi-Wei Shi, Baoxin |
| Author_xml | – sequence: 1 givenname: Yuanhong surname: Liu fullname: Liu, Yuanhong email: liuyuanhong@nepu.edu.cn organization: Research Centre for Digitalization and Intelligent Diagnosis to New Energies, College of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China – sequence: 2 givenname: Baoxin surname: Shi fullname: Shi, Baoxin email: 15546696560@163.com organization: Research Centre for Digitalization and Intelligent Diagnosis to New Energies, College of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China – sequence: 3 givenname: Shixiang surname: Lu fullname: Lu, Shixiang email: lsx94@nepu.edu.cn organization: Research Centre for Digitalization and Intelligent Diagnosis to New Energies, College of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China – sequence: 4 givenname: Zhi-Wei orcidid: 0009-0008-3453-6707 surname: Gao fullname: Gao, Zhi-Wei email: Gaozhiwei@nepu.edu.cn organization: Research Centre for Digitalization and Intelligent Diagnosis to New Energies, College of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China – sequence: 5 givenname: Fangfang surname: Zhang fullname: Zhang, Fangfang email: zhff4u@qlu.edu.cn organization: Department of Electronics, Electricity and Control, Qilu University of Technology, Shandong 250353, China |
| BookMark | eNp9kMlqwzAQQEVJoUnaH-hJP2B3ZHmFXkLoBoFe2rPQMk4VbClITqB_Xxvn1EMuMzDMm-WtyMJ5h4Q8MkgZsPLpkAaMMc0gy1M2VnhxQ5asrpoEal4uyBKagiU1z-COrGI8AEDeFNWSmA11_owd7byWY7QOZaDYKzTGuj2V3d4HO_z09Gzlpak_DacxBTyOS9ENcrDe0dYHqkZ4olp56gZqrNw7H228J7et7CI-XPKafL--fG3fk93n28d2s0s0BxgSZXKla65UUSlVSSiYlqVUEnOArFIZYy3jtQKORQbAuWpNU9agpMKG5arga1LPc3XwMQZshbbzdUOQthMMxGRLHMRkS0y2xGxrRLN_6DHYXobf69DzDOH41NliEFFbdBqNDagHYby9hv8B8reIBg |
| CitedBy_id | crossref_primary_10_1088_1361_6501_adead1 crossref_primary_10_1016_j_isatra_2025_05_044 crossref_primary_10_1016_j_neucom_2025_129900 crossref_primary_10_1016_j_ress_2024_110362 crossref_primary_10_1016_j_measurement_2024_116466 crossref_primary_10_1016_j_patcog_2025_111938 crossref_primary_10_1016_j_rineng_2025_106789 |
| Cites_doi | 10.1016/j.ymssp.2019.106587 10.1016/j.ress.2022.108986 10.1109/TCYB.2021.3086193 10.1016/j.proeng.2017.01.138 10.1126/science.290.5500.2323 10.1038/s41551-022-00914-1 10.1109/TIM.2022.3219307 10.1016/j.ress.2022.108353 10.1016/j.measurement.2021.110239 10.1016/j.ymssp.2015.06.006 10.1080/00461520.2021.1939700 10.1007/s40009-017-0536-7 10.1016/j.ress.2021.108208 10.1007/s11277-011-0416-2 10.1109/JIOT.2022.3141382 10.1016/j.patcog.2021.108336 10.1016/j.eswa.2010.07.119 10.1016/j.ress.2023.109096 10.1016/j.procs.2017.05.171 10.1109/ACCESS.2023.3304700 10.1016/j.renene.2022.11.064 10.1109/TNNLS.2023.3290974 10.1016/j.neucom.2020.11.048 10.1016/j.ress.2021.107813 10.1016/j.ress.2022.108648 10.1109/TII.2022.3190034 10.1002/mp.16235 |
| ContentType | Journal Article |
| Copyright | 2024 |
| Copyright_xml | – notice: 2024 |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.ress.2024.110135 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1879-0836 |
| ExternalDocumentID | 10_1016_j_ress_2024_110135 S0951832024002096 |
| GroupedDBID | --K --M .~1 0R~ 123 1B1 1~. 1~5 29P 4.4 457 4G. 5VS 7-5 71M 8P~ 9JN 9JO AABNK AACTN AAEDT AAEDW AAFJI AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXUO ABEFU ABFNM ABJNI ABMAC ABMMH ABTAH ABXDB ACDAQ ACGFS ACIWK ACNNM ACRLP ADBBV ADEZE ADMUD ADTZH AEBSH AECPX AEKER AENEX AFKWA AFRAH AFTJW AGHFR AGUBO AGYEJ AHHHB AHJVU AIEXJ AIKHN AITUG AJOXV AKRWK AKYCK ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOMHK ASPBG AVARZ AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CS3 DU5 EBS EFJIC EJD EO8 EO9 EP2 EP3 FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA HVGLF HZ~ IHE J1W JJJVA KOM LY7 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. PRBVW Q38 R2- RIG ROL RPZ SDF SDG SES SET SEW SPC SPCBC SSB SSO SST SSZ T5K TN5 WUQ XPP ZMT ZY4 ~G- 9DU AATTM AAXKI AAYWO AAYXX ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKYEP ANKPU APXCP CITATION EFKBS EFLBG ~HD |
| ID | FETCH-LOGICAL-c300t-bd4bc83bb57bb7a051ca6abae40027b211f138b03e520033bfd9680babe914b53 |
| ISICitedReferencesCount | 8 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001244023400001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0951-8320 |
| IngestDate | Sat Nov 29 01:50:07 EST 2025 Tue Nov 18 21:46:24 EST 2025 Sat May 25 15:40:37 EDT 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Bearing fault diagnosis Feature extraction Locally linear embedding algorithm Local mutual representation |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c300t-bd4bc83bb57bb7a051ca6abae40027b211f138b03e520033bfd9680babe914b53 |
| ORCID | 0009-0008-3453-6707 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_ress_2024_110135 crossref_primary_10_1016_j_ress_2024_110135 elsevier_sciencedirect_doi_10_1016_j_ress_2024_110135 |
| PublicationCentury | 2000 |
| PublicationDate | July 2024 2024-07-00 |
| PublicationDateYYYYMMDD | 2024-07-01 |
| PublicationDate_xml | – month: 07 year: 2024 text: July 2024 |
| PublicationDecade | 2020 |
| PublicationTitle | Reliability engineering & system safety |
| PublicationYear | 2024 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Lei, Yang, Jiang, Jia, Li, Nandi (b3) 2020; 138 Krishnan, Rajpurkar, Topol (b21) 2022; 6 Chen, Luo, Huang, Jiang, Kaynak (b13) 2024; 35 Roweis, Saul (b16) 2000; 290 Jin, Zuo, Wang, Cui, Li (b9) 2021; 52 Liu, He, Liu, Qu (b22) 2021; 186 Liu, He, Liu, Qu (b29) 2021; 186 Mövik, Bäck, Pettersson (b18) 2023; 50 Song, Liu, Han, Zeng, Yu, Zheng (b10) 2022; 10 Costa, Sánchez (b15) 2022; 222 Zhang, Li, Tian, Jiang, Luo, Yin (b7) 2023; 231 Zeng, Yang, Zheng, Cheng (b32) 2016; 66 Wu, Jing, Wang (b23) 2020; 24 Zhang, Zhang, An, Luo, Yin (b4) 2023 Chen, Liu, Alippi, Huang, Liu (b14) 2022 Cao, Ding, Jia, Tian (b11) 2021; 215 Zhong, Chen, Jiang, Ren (b19) 2022; 122 Mehta, Tyagi, Rao, Kumar, Chauhan (b24) 2017; 40 Lu, Gao, Xu, Jiang, Zhang, Wang (b1) 2022; 18 Liu, Hu, Zhang (b30) 2021; 428 Jain, Tapaswi, Shukla (b28) 2012; 67 Tabandeh, Sharma, Gardoni (b6) 2022; 219 Han, Li (b12) 2022; 226 Xie, Xu, Jiang, Lu, Wang (b5) 2023; 202 Liu, Li, Wang, Chen, Chen, Qiu (b26) 2022; 71 Ziegelmeier, Kirby, Peterson (b25) 2017; 108 Zhiwei, Cecati, Ding (b2) 2015 Ye, Tang, Zhu, Yang, Li, Hao (b20) 2022; 60 Zhang, Li, Tian, Luo, Yin (b8) 2023; 233 Zhao, Wang, Hua, Liu, Zhang, Hu (b27) 2017; 174 Song, Liao, Jia, Kong, Niu (b33) 2023; 11 Simonsmeier, Flaig, Deiglmayr, Schalk, Schneider (b17) 2022; 57 Kankar, Sharma, Harsha (b31) 2011; 38 Lu (10.1016/j.ress.2024.110135_b1) 2022; 18 Song (10.1016/j.ress.2024.110135_b10) 2022; 10 Liu (10.1016/j.ress.2024.110135_b29) 2021; 186 Liu (10.1016/j.ress.2024.110135_b22) 2021; 186 Han (10.1016/j.ress.2024.110135_b12) 2022; 226 Zhang (10.1016/j.ress.2024.110135_b4) 2023 Cao (10.1016/j.ress.2024.110135_b11) 2021; 215 Chen (10.1016/j.ress.2024.110135_b14) 2022 Zhao (10.1016/j.ress.2024.110135_b27) 2017; 174 Zeng (10.1016/j.ress.2024.110135_b32) 2016; 66 Zhang (10.1016/j.ress.2024.110135_b7) 2023; 231 Simonsmeier (10.1016/j.ress.2024.110135_b17) 2022; 57 Jin (10.1016/j.ress.2024.110135_b9) 2021; 52 Liu (10.1016/j.ress.2024.110135_b30) 2021; 428 Chen (10.1016/j.ress.2024.110135_b13) 2024; 35 Ye (10.1016/j.ress.2024.110135_b20) 2022; 60 Jain (10.1016/j.ress.2024.110135_b28) 2012; 67 Mövik (10.1016/j.ress.2024.110135_b18) 2023; 50 Zhang (10.1016/j.ress.2024.110135_b8) 2023; 233 Ziegelmeier (10.1016/j.ress.2024.110135_b25) 2017; 108 Zhiwei (10.1016/j.ress.2024.110135_b2) 2015 Krishnan (10.1016/j.ress.2024.110135_b21) 2022; 6 Wu (10.1016/j.ress.2024.110135_b23) 2020; 24 Lei (10.1016/j.ress.2024.110135_b3) 2020; 138 Tabandeh (10.1016/j.ress.2024.110135_b6) 2022; 219 Roweis (10.1016/j.ress.2024.110135_b16) 2000; 290 Kankar (10.1016/j.ress.2024.110135_b31) 2011; 38 Zhong (10.1016/j.ress.2024.110135_b19) 2022; 122 Song (10.1016/j.ress.2024.110135_b33) 2023; 11 Xie (10.1016/j.ress.2024.110135_b5) 2023; 202 Mehta (10.1016/j.ress.2024.110135_b24) 2017; 40 Costa (10.1016/j.ress.2024.110135_b15) 2022; 222 Liu (10.1016/j.ress.2024.110135_b26) 2022; 71 |
| References_xml | – volume: 24 start-page: 323 year: 2020 end-page: 330 ident: b23 article-title: Improved weighted local linear embedding algorithm based on Laplacian eigenmaps publication-title: Int J Knowl-Based Intell Eng Syst – volume: 10 start-page: 3037 year: 2022 end-page: 3046 ident: b10 article-title: Edge-intelligence-based condition monitoring of beam pumping units under heavy noise in industrial internet of things for industry 4.0 publication-title: IEEE Internet Things J – volume: 186 year: 2021 ident: b22 article-title: Local linear embedding algorithm of mutual neighborhood based on multi-information fusion metric publication-title: Measurement – volume: 122 year: 2022 ident: b19 article-title: A cascade reconstruction model with generalization ability evaluation for anomaly detection in videos publication-title: Pattern Recognit – volume: 67 start-page: 879 year: 2012 end-page: 893 ident: b28 article-title: Location estimation based on semi-supervised locally linear embedding (SSLLE) approach for indoor wireless networks publication-title: Wirel Pers Commun – volume: 233 year: 2023 ident: b8 article-title: An integrated multi-head dual sparse self-attention network for remaining useful life prediction publication-title: Reliab Eng Syst Saf – start-page: 1 year: 2023 end-page: 12 ident: b4 article-title: An integrated multitasking intelligent bearing fault diagnosis scheme based on representation learning under imbalanced sample condition publication-title: IEEE Trans Neural Netw Learn Syst – volume: 226 year: 2022 ident: b12 article-title: Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles publication-title: Reliab Eng Syst Saf – volume: 202 start-page: 143 year: 2023 end-page: 153 ident: b5 article-title: The fault frequency priors fusion deep learning framework with application to fault diagnosis of offshore wind turbines publication-title: Renew Energy – volume: 186 year: 2021 ident: b29 article-title: Local linear embedding algorithm of mutual neighborhood based on multi-information fusion metric publication-title: Measurement – volume: 108 start-page: 635 year: 2017 end-page: 644 ident: b25 article-title: Sparse locally linear embedding publication-title: Procedia Comput Sci – volume: 6 start-page: 1346 year: 2022 end-page: 1352 ident: b21 article-title: Self-supervised learning in medicine and healthcare publication-title: Nat Biomed Eng – volume: 174 start-page: 281 year: 2017 end-page: 288 ident: b27 article-title: Recognition of control chart pattern using improved supervised locally linear embedding and support vector machine publication-title: Procedia Eng – volume: 66 start-page: 533 year: 2016 end-page: 545 ident: b32 article-title: Maximum margin classification based on flexible convex hulls for fault diagnosis of roller bearings publication-title: Mech Syst Signal Process – volume: 290 start-page: 2323 year: 2000 end-page: 2326 ident: b16 article-title: Nonlinear dimensionality reduction by locally linear embedding publication-title: Science – volume: 52 start-page: 12687 year: 2021 end-page: 12697 ident: b9 article-title: An integrated model-based and data-driven gap metric method for fault detection and isolation publication-title: IEEE Trans Cybern – volume: 57 start-page: 31 year: 2022 end-page: 54 ident: b17 article-title: Domain-specific prior knowledge and learning: A meta-analysis publication-title: Educ Psychol – volume: 40 start-page: 189 year: 2017 end-page: 196 ident: b24 article-title: Modified locally linear embedding with affine transformation publication-title: Nat Acad Sci Lett – volume: 215 year: 2021 ident: b11 article-title: A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings publication-title: Reliab Eng Syst Saf – volume: 219 year: 2022 ident: b6 article-title: Uncertainty propagation in risk and resilience analysis of hierarchical systems publication-title: Reliab Eng Syst Saf – volume: 11 start-page: 86686 year: 2023 end-page: 86696 ident: b33 article-title: Rolling bearing fault diagnosis under different severity based on statistics detection index and canonical discriminant analysis publication-title: IEEE Access – year: 2015 ident: b2 article-title: A survey of fault diagnosis and fault-tolerant techniques—Part II: Fault diagnosis with knowledge-based and hybrid/active approaches publication-title: IEEE Trans Ind Electron – volume: 35 start-page: 2969 year: 2024 end-page: 2983 ident: b13 article-title: Transfer learning-motivated intelligent fault diagnosis designs: A survey, insights, and perspectives publication-title: IEEE Trans Neural Netw Learn Syst – volume: 50 start-page: 1879 year: 2023 end-page: 1892 ident: b18 article-title: Impact of delineation errors on the estimated organ at risk dose and of dose errors on the normal tissue complication probability model publication-title: Med Phys – volume: 60 start-page: 1 year: 2022 end-page: 15 ident: b20 article-title: A multiscale framework with unsupervised learning for remote sensing image registration publication-title: IEEE Trans Geosci Remote Sens – volume: 138 year: 2020 ident: b3 article-title: Applications of machine learning to machine fault diagnosis: A review and roadmap publication-title: Mech Syst Signal Process – volume: 231 year: 2023 ident: b7 article-title: A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition publication-title: Reliab Eng Syst Saf – start-page: 1 year: 2022 end-page: 14 ident: b14 article-title: Explainable intelligent fault diagnosis for nonlinear dynamic systems: From unsupervised to supervised learning publication-title: IEEE Trans Neural Netw Learn Syst – volume: 18 start-page: 9101 year: 2022 end-page: 9111 ident: b1 article-title: Class-imbalance privacy-preserving federated learning for decentralized fault diagnosis with biometric authentication publication-title: IEEE Trans Ind Inf – volume: 222 year: 2022 ident: b15 article-title: Variational encoding approach for interpretable assessment of remaining useful life estimation publication-title: Reliab Eng Syst Saf – volume: 71 start-page: 1 year: 2022 end-page: 4 ident: b26 article-title: Hessian locally linear embedding of PMU data for efficient fault detection in power systems publication-title: IEEE Trans Instrum Meas – volume: 428 start-page: 280 year: 2021 end-page: 290 ident: b30 article-title: Bearing feature extraction using multi-structure locally linear embedding publication-title: Neurocomputing – volume: 38 start-page: 1876 year: 2011 end-page: 1886 ident: b31 article-title: Fault diagnosis of ball bearings using machine learning methods publication-title: Expert Syst Appl – volume: 138 year: 2020 ident: 10.1016/j.ress.2024.110135_b3 article-title: Applications of machine learning to machine fault diagnosis: A review and roadmap publication-title: Mech Syst Signal Process doi: 10.1016/j.ymssp.2019.106587 – volume: 231 year: 2023 ident: 10.1016/j.ress.2024.110135_b7 article-title: A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2022.108986 – volume: 52 start-page: 12687 issue: 12 year: 2021 ident: 10.1016/j.ress.2024.110135_b9 article-title: An integrated model-based and data-driven gap metric method for fault detection and isolation publication-title: IEEE Trans Cybern doi: 10.1109/TCYB.2021.3086193 – volume: 174 start-page: 281 year: 2017 ident: 10.1016/j.ress.2024.110135_b27 article-title: Recognition of control chart pattern using improved supervised locally linear embedding and support vector machine publication-title: Procedia Eng doi: 10.1016/j.proeng.2017.01.138 – volume: 290 start-page: 2323 issue: 5500 year: 2000 ident: 10.1016/j.ress.2024.110135_b16 article-title: Nonlinear dimensionality reduction by locally linear embedding publication-title: Science doi: 10.1126/science.290.5500.2323 – volume: 6 start-page: 1346 issue: 12 year: 2022 ident: 10.1016/j.ress.2024.110135_b21 article-title: Self-supervised learning in medicine and healthcare publication-title: Nat Biomed Eng doi: 10.1038/s41551-022-00914-1 – volume: 71 start-page: 1 year: 2022 ident: 10.1016/j.ress.2024.110135_b26 article-title: Hessian locally linear embedding of PMU data for efficient fault detection in power systems publication-title: IEEE Trans Instrum Meas doi: 10.1109/TIM.2022.3219307 – volume: 222 year: 2022 ident: 10.1016/j.ress.2024.110135_b15 article-title: Variational encoding approach for interpretable assessment of remaining useful life estimation publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2022.108353 – volume: 186 year: 2021 ident: 10.1016/j.ress.2024.110135_b29 article-title: Local linear embedding algorithm of mutual neighborhood based on multi-information fusion metric publication-title: Measurement doi: 10.1016/j.measurement.2021.110239 – volume: 66 start-page: 533 year: 2016 ident: 10.1016/j.ress.2024.110135_b32 article-title: Maximum margin classification based on flexible convex hulls for fault diagnosis of roller bearings publication-title: Mech Syst Signal Process doi: 10.1016/j.ymssp.2015.06.006 – volume: 57 start-page: 31 issue: 1 year: 2022 ident: 10.1016/j.ress.2024.110135_b17 article-title: Domain-specific prior knowledge and learning: A meta-analysis publication-title: Educ Psychol doi: 10.1080/00461520.2021.1939700 – volume: 40 start-page: 189 year: 2017 ident: 10.1016/j.ress.2024.110135_b24 article-title: Modified locally linear embedding with affine transformation publication-title: Nat Acad Sci Lett doi: 10.1007/s40009-017-0536-7 – volume: 219 year: 2022 ident: 10.1016/j.ress.2024.110135_b6 article-title: Uncertainty propagation in risk and resilience analysis of hierarchical systems publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2021.108208 – year: 2015 ident: 10.1016/j.ress.2024.110135_b2 article-title: A survey of fault diagnosis and fault-tolerant techniques—Part II: Fault diagnosis with knowledge-based and hybrid/active approaches publication-title: IEEE Trans Ind Electron – volume: 67 start-page: 879 year: 2012 ident: 10.1016/j.ress.2024.110135_b28 article-title: Location estimation based on semi-supervised locally linear embedding (SSLLE) approach for indoor wireless networks publication-title: Wirel Pers Commun doi: 10.1007/s11277-011-0416-2 – volume: 10 start-page: 3037 issue: 4 year: 2022 ident: 10.1016/j.ress.2024.110135_b10 article-title: Edge-intelligence-based condition monitoring of beam pumping units under heavy noise in industrial internet of things for industry 4.0 publication-title: IEEE Internet Things J doi: 10.1109/JIOT.2022.3141382 – volume: 122 year: 2022 ident: 10.1016/j.ress.2024.110135_b19 article-title: A cascade reconstruction model with generalization ability evaluation for anomaly detection in videos publication-title: Pattern Recognit doi: 10.1016/j.patcog.2021.108336 – volume: 38 start-page: 1876 issue: 3 year: 2011 ident: 10.1016/j.ress.2024.110135_b31 article-title: Fault diagnosis of ball bearings using machine learning methods publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2010.07.119 – volume: 233 year: 2023 ident: 10.1016/j.ress.2024.110135_b8 article-title: An integrated multi-head dual sparse self-attention network for remaining useful life prediction publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2023.109096 – volume: 108 start-page: 635 year: 2017 ident: 10.1016/j.ress.2024.110135_b25 article-title: Sparse locally linear embedding publication-title: Procedia Comput Sci doi: 10.1016/j.procs.2017.05.171 – volume: 11 start-page: 86686 year: 2023 ident: 10.1016/j.ress.2024.110135_b33 article-title: Rolling bearing fault diagnosis under different severity based on statistics detection index and canonical discriminant analysis publication-title: IEEE Access doi: 10.1109/ACCESS.2023.3304700 – volume: 186 year: 2021 ident: 10.1016/j.ress.2024.110135_b22 article-title: Local linear embedding algorithm of mutual neighborhood based on multi-information fusion metric publication-title: Measurement doi: 10.1016/j.measurement.2021.110239 – start-page: 1 year: 2022 ident: 10.1016/j.ress.2024.110135_b14 article-title: Explainable intelligent fault diagnosis for nonlinear dynamic systems: From unsupervised to supervised learning publication-title: IEEE Trans Neural Netw Learn Syst – volume: 202 start-page: 143 year: 2023 ident: 10.1016/j.ress.2024.110135_b5 article-title: The fault frequency priors fusion deep learning framework with application to fault diagnosis of offshore wind turbines publication-title: Renew Energy doi: 10.1016/j.renene.2022.11.064 – volume: 35 start-page: 2969 issue: 3 year: 2024 ident: 10.1016/j.ress.2024.110135_b13 article-title: Transfer learning-motivated intelligent fault diagnosis designs: A survey, insights, and perspectives publication-title: IEEE Trans Neural Netw Learn Syst doi: 10.1109/TNNLS.2023.3290974 – volume: 60 start-page: 1 year: 2022 ident: 10.1016/j.ress.2024.110135_b20 article-title: A multiscale framework with unsupervised learning for remote sensing image registration publication-title: IEEE Trans Geosci Remote Sens – volume: 428 start-page: 280 year: 2021 ident: 10.1016/j.ress.2024.110135_b30 article-title: Bearing feature extraction using multi-structure locally linear embedding publication-title: Neurocomputing doi: 10.1016/j.neucom.2020.11.048 – volume: 215 year: 2021 ident: 10.1016/j.ress.2024.110135_b11 article-title: A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2021.107813 – start-page: 1 year: 2023 ident: 10.1016/j.ress.2024.110135_b4 article-title: An integrated multitasking intelligent bearing fault diagnosis scheme based on representation learning under imbalanced sample condition publication-title: IEEE Trans Neural Netw Learn Syst – volume: 226 year: 2022 ident: 10.1016/j.ress.2024.110135_b12 article-title: Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2022.108648 – volume: 18 start-page: 9101 issue: 12 year: 2022 ident: 10.1016/j.ress.2024.110135_b1 article-title: Class-imbalance privacy-preserving federated learning for decentralized fault diagnosis with biometric authentication publication-title: IEEE Trans Ind Inf doi: 10.1109/TII.2022.3190034 – volume: 24 start-page: 323 issue: 4 year: 2020 ident: 10.1016/j.ress.2024.110135_b23 article-title: Improved weighted local linear embedding algorithm based on Laplacian eigenmaps publication-title: Int J Knowl-Based Intell Eng Syst – volume: 50 start-page: 1879 issue: 3 year: 2023 ident: 10.1016/j.ress.2024.110135_b18 article-title: Impact of delineation errors on the estimated organ at risk dose and of dose errors on the normal tissue complication probability model publication-title: Med Phys doi: 10.1002/mp.16235 |
| SSID | ssj0004957 |
| Score | 2.467748 |
| Snippet | The locally linear embedding algorithm (LLE) mainly extracts significant features by mining the local neighborhood structure of the data. However, when the... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 110135 |
| SubjectTerms | Bearing fault diagnosis Feature extraction Local mutual representation Locally linear embedding algorithm |
| Title | A novel local linear embedding algorithm via local mutual representation for bearing fault diagnosis |
| URI | https://dx.doi.org/10.1016/j.ress.2024.110135 |
| Volume | 247 |
| WOSCitedRecordID | wos001244023400001&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 customDbUrl: eissn: 1879-0836 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0004957 issn: 0951-8320 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEF6FlgMcEE_RUtAeuFmu_Lb3GKFS4FAhUUTExdqx18SVY1eJHaU_oP-7sw8_KKgCJC5W5Oxmo51P45nxN98S8hYwa4iDPLc5yzBBYQX6wSAUNi84BrNMADB92ER8dpYsFuzzbHbd98Jsq7iuk92OXf5XU-M9NLZsnf0Lcw8_ijfwMxodr2h2vP6R4edW3WxFZamnlCWjSL62xApErvpXePWjWZftcmVtS24GrTrVRaIELvtmJE1ABJysuJa8q1pZqJW8vHIzDWklqVmLfV9ZYlQ3VJjSOtHWhhdGbkRxf8pOOf6O18vGPDiVSGSpX4A0u3LkCamh-NUOYTwMPeWqwPt9WdrfRDktXHjBQHI11bS-o2akL-mypGujl9HvaoR2yknMlIr21Gt7WqjzlyeALkZcHMtixbFcVjY6uFoS5Zay9he5mFxL8mg9zOXukX0vDhn69_35x5PFp7HBlmnJ2P7Pme4rTRS8vdLvI5xJ1HL-mDwy6Qada5g8ITNRPyUPJyKUz0g-pwowVGGBasDQATB0AAxFwJhBGjD0Z8BQBAw1gKEKMHQAzHPy9f3J-bsPtjl7w858x2ltyAPIEh8gjAFijq474xEHLuRWxeC5buH6CTi-kLpdvg9FzqLEAQ6CuQGE_guyVze1eEloFBYix0QOM_MkyDOPY0QZuREkPHbAZ84Bcfv9SjMjTC_PR6nSnoF4kco9TuUep3qPD4g1zLnUsix3jg57M6QmsNQBY4qouWPe4T_Oe0UejIA_InvtuhOvyf1s25ab9RsDrhuhfqA4 |
| 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=A+novel+local+linear+embedding+algorithm+via+local+mutual+representation+for+bearing+fault+diagnosis&rft.jtitle=Reliability+engineering+%26+system+safety&rft.au=Liu%2C+Yuanhong&rft.au=Shi%2C+Baoxin&rft.au=Lu%2C+Shixiang&rft.au=Gao%2C+Zhi-Wei&rft.date=2024-07-01&rft.pub=Elsevier+Ltd&rft.issn=0951-8320&rft.eissn=1879-0836&rft.volume=247&rft_id=info:doi/10.1016%2Fj.ress.2024.110135&rft.externalDocID=S0951832024002096 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0951-8320&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0951-8320&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0951-8320&client=summon |