Reliability assessment of systems subject to interval-valued probabilistic common cause failure by evidential networks-Reference-Cited by-同舟云学术

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Reliability assessment of systems subject to interval-valued probabilistic common cause failure by evidential networks

Published:2019-04-09 Issue:4 Volume:36 Page:3711-3723
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Zuo Lin¹,Xiahou Tangfan²,Liu Yu²³

Affiliation:

1. School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China

2. School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China

3. Center for System Reliability and Safety, University of Electronic Science and Technology of China, Chengdu, P.R. China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference32 articles.

1. Estimation of failure probability of milk manufacturing unit by fuzzy fault tree analysis;Mhalla;Journal of Intelligent and Fuzzy Systems,2014

2. Bayesian updating of structural models and reliability using Markov chain Monte Carlo simulation;Beck;Journal of Engineering Mechanics,2002

3. Elementary siphons of Petri nets and their application to deadlock prevention in flexible manufacturing systems;Li;IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans,2004

4. Parameter inference for non-repairable multi-state system reliability models by multi-level observation sequences;Jiang;Reliability Engineering and System Safety,2017

5. A discrete-time Bayesian network reliability modeling and analysis framework;Boudali;Reliability Engineering and System Safety,2005

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