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

被引：11
|
作者：
Zuo, Fangjun [1 ]
Jia, Meiwei [1 ]
Wen, Guang [1 ]
Zhang, Huijie [1 ]
Liu, Pingping [1 ]
机构：
[1] Chengdu Technol Univ, Sch Intelligent Mfg, Chengdu 611730, Peoples R China
来源：
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES | 2021年 / 129卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Bayesian network (BN); dynamics; fuzzy; multi-state; STRUCTURAL RELIABILITY; UNCERTAINTY;
D O I：
10.32604/cmes.2021.016870
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：993 / 1012
页数：20
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