Density-Based Affinity Propagation Tensor Clustering for Intelligent Fault Diagnosis of Train Bogie Bearing-Reference-Cited by-同舟云学术

Density-Based Affinity Propagation Tensor Clustering for Intelligent Fault Diagnosis of Train Bogie Bearing

Published:2023-06 Issue:6 Volume:24 Page:6053-6064
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Wei Zexian¹,He Deqiang¹^ORCID,Jin Zhenzhen¹,Liu Bin²^ORCID,Shan Sheng³,Chen Yanjun¹^ORCID,Miao Jian¹^ORCID

Affiliation:

1. Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology, School of Mechanical Engineering, Guangxi University, Nanning, China

2. School of Electrical Engineering, Guangxi University, Nanning, China

3. Zhuzhou CRRC Times Electric Company Ltd., Zhuzhou, China

Funder

National Natural Science Foundation of China

Major Project of Science and Technology of Guangxi Province of China

Guangxi Manufacturing Systems and Advanced Manufacturing Technology Key Laboratory Director Fund

Nanning Excellent Young Scientist Program

Interdisciplinary Scientific Research Foundation of Guangxi University

Innovation Project of Guangxi Graduate Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10139322/10074982.pdf?arnumber=10074982

Reference53 articles.

1. Fault Diagnosis of High-Speed Train Bogie Based on Capsule Network

2. Fault Diagnosis of High-Speed Train Bogie by Residual-Squeeze Net

3. Fully Decomposed Singular Value and Fixed Dictionary Extreme Learning Machine for Bogie Fault Diagnosis

4. Multiple Convolutional Recurrent Neural Networks for Fault Identification and Performance Degradation Evaluation of High-Speed Train Bogie

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