학술논문

Generalized Fuzzy Subset Method for Time-Varying Multi-State Reliability of Perturbation Failure Coupling Measurement System With Limited Expert Knowledge
Document Type
Periodical
Source
IEEE Transactions on Fuzzy Systems IEEE Trans. Fuzzy Syst. Fuzzy Systems, IEEE Transactions on. 31(7):2412-2424 Jul, 2023
Subject
Computing and Processing
Perturbation methods
Reliability engineering
Time-varying systems
Couplings
Vehicle dynamics
Fuzzy sets
System dynamics
Data-driven
interval type-2 fuzzy
subset simulation (SS)
time-varying
Language
ISSN
1063-6706
1941-0034
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.