Residential College | false |
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 Publication | IEEE Transactions on Fuzzy Systems |
ISSN | 1063-6706 |
Volume | 31Issue: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. |
Keyword | Data-driven Interval Type-2 Fuzzy Subset Simulation Time-varying |
DOI | 10.1109/TFUZZ.2022.3225683 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Computer Science ; Engineering |
WOS Subject | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS ID | WOS:001079812600026 |
Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 |
Scopus ID | 2-s2.0-85144073003 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | DEPARTMENT OF ELECTROMECHANICAL ENGINEERING Faculty of Science and Technology |
Corresponding Author | Wong, Pak Kin |
Affiliation | 1.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 Affilication | University 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. |
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