Physics‐data‐fusion based decoupling model for coupled faults of complex electromechanical systems-Reference-Cited by-同舟云学术

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Physics‐data‐fusion based decoupling model for coupled faults of complex electromechanical systems

Published:2022-11-17 Issue:1 Volume:39 Page:206-228
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Quality & Reliability Eng

Author:

Xu Jinjin¹^ORCID,Wang Rongxi¹^ORCID,Liang Zeming²,Liu Pengpeng³,Gao Jianmin¹,Wang Zhen⁴

Affiliation:

1. State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an China

2. Xi'an Aircraft Industry (Group) Co., Ltd. Xi'an China

3. No. 92942 Troops of PLA Beijing China

4. Xi'an Thermal Power Research Institute Co., Ltd. Xi'an 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.3232

Reference51 articles.

1. Reliability analysis of complex electromechanical systems: State of the art, challenges, and prospects

2. Deep understanding in industrial processes by complementing human expertise with interpretable patterns of machine learning

3. Optimized fault diagnosis based on FMEA-style CBR and BN for embedded software system

4. Bayesian Networks in Fault Diagnosis

5. Extend GO Methodology to Support Common-Cause Failures Modeling Explicitly by Means of Bayesian Networks

Cited by 2 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. Uncertainty analysis of wind speed of wind turbine;Quality and Reliability Engineering International;2023-03-12

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