UM  > Faculty of Science and Technology  > DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Residential Collegefalse
Status已發表Published
Generalized Fuzzy Subset Method for Time-Varying Multi-State Reliability of Perturbation Failure Coupling Measurement System With Limited Expert Knowledge
Zhao, Jing1,2; Liu, Jincan1; Wong, Pak Kin3; Liang, Zhongchao1; Xie, Zhengchao4; Na, Jing5
2022-11-30
Source PublicationIEEE Transactions on Fuzzy Systems
ISSN1063-6706
Volume31Issue:7Pages:2412 - 2424
Abstract

In this work, a generalized fuzzy subset (GFS) method is proposed to assess the time-varying multi-state reliability of the perturbation failure coupling measurement (PFCM) system. First, a perturbation-failure coupling mechanism is designed to define the propagation chain of perturbations so as to integrate all the possible perturbations as the inputs of the GFS method. Second, to assess the time-varying multi-state reliability, a GFS reliability model is constructed based on the composite limit state. Furthermore, the concept of the uncertain subset boundary is presented to conduct the reliability assessment via a group of embedded interval type-2 fuzzy sets. To address the deficiency of the GFS reliability model, a data-driven strategy is designed to establish the implicit relation between the limited expert knowledge and the membership function. Finally, the experimental tests are carried out to examine the superiority of the GFS method, and parametric studies are also conducted to study the reliability of the PFCM system.

KeywordData-driven Interval Type-2 Fuzzy Subset Simulation Time-varying
DOI10.1109/TFUZZ.2022.3225683
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:001079812600026
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85144073003
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Faculty of Science and Technology
Corresponding AuthorWong, Pak Kin
Affiliation1.Northeastern University, School of Mechanical Engineering and Automation, The State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, 110819, China
2.Foshan Graduate School of Innovation, Foshan, 528311, China
3.University of Macau, Department of Electromechanical Engineering, 999078, Macao
4.South China University of Technology, School of Mechanical and Automotive Engineering, Guangzhou, 510641, China
5.Kunming University of Science and Technology, Faculty of Mechanical and Electrical Engineering, Kunming, 650500, China
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Zhao, Jing,Liu, Jincan,Wong, Pak Kin,et al. Generalized Fuzzy Subset Method for Time-Varying Multi-State Reliability of Perturbation Failure Coupling Measurement System With Limited Expert Knowledge[J]. IEEE Transactions on Fuzzy Systems, 2022, 31(7), 2412 - 2424.
APA Zhao, Jing., Liu, Jincan., Wong, Pak Kin., Liang, Zhongchao., Xie, Zhengchao., & Na, Jing (2022). Generalized Fuzzy Subset Method for Time-Varying Multi-State Reliability of Perturbation Failure Coupling Measurement System With Limited Expert Knowledge. IEEE Transactions on Fuzzy Systems, 31(7), 2412 - 2424.
MLA Zhao, Jing,et al."Generalized Fuzzy Subset Method for Time-Varying Multi-State Reliability of Perturbation Failure Coupling Measurement System With Limited Expert Knowledge".IEEE Transactions on Fuzzy Systems 31.7(2022):2412 - 2424.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhao, Jing]'s Articles
[Liu, Jincan]'s Articles
[Wong, Pak Kin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhao, Jing]'s Articles
[Liu, Jincan]'s Articles
[Wong, Pak Kin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhao, Jing]'s Articles
[Liu, Jincan]'s Articles
[Wong, Pak Kin]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.