Enhancing Reliability Through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery-Reference-Cited by-同舟云学术

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Enhancing Reliability Through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery

Published:2024 Issue: Volume:12 Page:103348-103379
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chen Gang¹^ORCID,Yuan Junlin¹,Zhang Yiyue¹,Zhu Hanyue¹,Huang Ruyi¹^ORCID,Wang Fengtao²,Li Weihua³^ORCID

Affiliation:

1. Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China

2. Department of Mechanical Engineering, College of Engineering, Shantou University, Shantou, China

3. School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Basic and Applied Basic Research Foundation of Guangzhou

Open Fund of State Key Laboratory of Mechanical Transmissions

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10600683.pdf?arnumber=10600683

Reference244 articles.

1. Towards trustworthy rotating machinery fault diagnosis via attention uncertainty in transformer

2. Deep Residual Shrinkage Networks for Fault Diagnosis

3. Drivetrain Gearbox Fault Diagnosis: Vibration- and Current-Based Approaches

4. Kurtogram manifold learning and its application to rolling bearing weak signal detection

5. Vibration model of rolling element bearings in a rotor-bearing system for fault diagnosis

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