Open Access

ARTICLE

Reliability Modeling and Evaluation of Complex Multi-State System Based on Bayesian Networks Considering Fuzzy Dynamic of Faults

Fangjun Zuo^*, Meiwei Jia, Guang Wen, Huijie Zhang, Pingping Liu
School of Intelligent Manufacturing, Chengdu Technological University, Chengdu, 611730, China
* Corresponding Author: Fangjun Zuo. Email:
(This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)

Computer Modeling in Engineering & Sciences 2021, 129(2), 993-1012. https://doi.org/10.32604/cmes.2021.016870

Received 04 April 2021; Accepted 11 May 2021; Issue published 08 October 2021

Abstract

In the traditional reliability evaluation based on the Bayesian method, the failure probability of nodes is usually expressed by the average failure rate within a period of time. Aiming at the shortcomings of traditional Bayesian network reliability evaluation methods, this paper proposes a Bayesian network reliability evaluation method considering dynamics and fuzziness. The fuzzy theory and the dynamic of component failure probability are introduced to construct the dynamic fuzzy set function. Based on the solving characteristics of the dynamic fuzzy set and Bayesian network, the fuzzy dynamic probability and fuzzy dynamic importance degree of the fault state of leaf nodes are solved. Finally, through the dynamic fuzzy reliability analysis of CNC machine tool hydraulic system balance circuit, the application of this method in system reliability evaluation is verified, which provides support for fault diagnosis of CNC machine tools.

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Keywords

Bayesian network (BN); dynamics; fuzzy; multi-state

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