A Bearing Fault Diagnosis Model based on Minimum Average Composite Entropy and Parallel Attention Mechanism Convolutional Neural Network
By: Zhen Zhang, Shixi Yang, Jun He, Wanchun Zhou and Yanxu Liu
Authors
Henan University of Technology, Zhengzhou, China
Zhejiang University - Zhongyuan Institute, Zhengzhou, China
Shixi Yang
School of Mechanical Engineering, Zhejiang University, Hangzhou, China
Zhejiang University - Zhongyuan Institute, Zhengzhou, China
Jun He
School of Mechanical Engineering, Zhejiang University, Hangzhou, China
Zhejiang University - Zhongyuan Institute, Zhengzhou, China
Wanchun Zhou
Zhejiang University - Zhongyuan Institute, Zhengzhou, China
Yanxu Liu
Zhejiang University - Zhongyuan Institute, Zhengzhou, China
DOI: https://doi.org/10.2478/msr-2025-0022 | Journal eISSN: 1335-8871
Language: English
Page range: 178 - 189
Submitted on: Feb 28, 2025
Accepted on: May 27, 2025
Published on: Aug 14, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
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© 2025 Zhen Zhang, Shixi Yang, Jun He, Wanchun Zhou, Yanxu Liu, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 License.