A failure tracing method with hierarchical digraph and meta action for complex electromechanical systems-Reference-Cited by-同舟云学术

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A failure tracing method with hierarchical digraph and meta action for complex electromechanical systems

Published:2022-03-06 Issue:5 Volume:38 Page:2622-2648
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Quality & Reliability Eng

Author:

Xiao Liming¹²^ORCID,Huang Guangquan¹²^ORCID,Zhang Genbao¹²³,Zhu Xiao¹²^ORCID,Jin Chuanxi¹²

Affiliation:

1. State Key Laboratory of Mechanical Transmissions Chongqing University Chongqing China

2. College of Mechanical and Vehicle Engineering Chongqing University Chongqing China

3. School of Intelligent Manufacturing Engineering Chongqing University of Arts and Science Chongqing China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.3095

Reference59 articles.

1. Reliability assessment of complex electromechanical systems: A network perspective

2. Quality loss prediction of mechanical system life considering linear degeneration and random error

3. Decision-making model of machine tool remanufacturing alternatives based on dual interval rough number clouds

4. Improved assessment model for candidate design schemes with an interval rough integrated cloud model under uncertain group environment

5. An information transfer based novel framework for fault root cause tracing of complex electromechanical systems in the processing industry

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Physics-guided, data-refined fault root cause tracing framework for complex electromechanical system;Reliability Engineering & System Safety;2023-08

2. Flight Parameter Prediction and Fault Propagation based on Machine Learning and Symbolic Directed Graph;2023 6th International Symposium on Autonomous Systems (ISAS);2023-06-23

3. An intuitionistic fuzzy cloud model-based risk assessment method of failure modes considering hybrid weight information;Journal of Intelligent & Fuzzy Systems;2022-04-28

4. Mission Reliability Modeling of Multistation Manufacturing Systems Considering Cascading Functional Failure;IEEE Transactions on Reliability;2022

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