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Generalized Fuzzy Subset Method for Time-Varying Multi-State Reliability of Perturbation Failure Coupling Measurement System With Limited Expert Knowledge

Authors :
Zhao, Jing
Liu, Jincan
Wong, Pak Kin
Liang, Zhongchao
Xie, Zhengchao
Na, Jing
Source :
IEEE Transactions on Fuzzy Systems; 2023, Vol. 31 Issue: 7 p2412-2424, 13p
Publication Year :
2023

Abstract

In this article, a generalized fuzzy subset (GFS) method is proposed to assess the time-varying multistate reliability of the perturbation failure coupling measurement 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 multistate 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.

Details

Language :
English
ISSN :
10636706
Volume :
31
Issue :
7
Database :
Supplemental Index
Journal :
IEEE Transactions on Fuzzy Systems
Publication Type :
Periodical
Accession number :
ejs63488748
Full Text :
https://doi.org/10.1109/TFUZZ.2022.3225683