摄动(天文学)
模糊逻辑
参数统计
可靠性(半导体)
数学
可靠性理论
计算机科学
模糊控制系统
可靠性工程
故障率
工程类
人工智能
统计
量子力学
物理
功率(物理)
作者
Jing Zhao,Jincan Liu,Pak Kin Wong,Liang Zhang,Zhengchao Xie,Jing Na
出处
期刊:IEEE Transactions on Fuzzy Systems
[Institute of Electrical and Electronics Engineers]
日期:2023-07-01
卷期号:31 (7): 2412-2424
标识
DOI:10.1109/tfuzz.2022.3225683
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI