Research on Bearing Fault Diagnosis Method Based on MESO-TCN

Research on Bearing Fault Diagnosis Method Based on MESO-TCN

To address the issues of information redundancy, limited feature representation, and empirically set parameters in rolling bearing fault diagnosis, this paper proposes a Multi-Entropy Screening and Optimization Temporal Convolutional Network (MESO-TCN). The method integrates feature filtering, netwo...

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Bibliographic Details
Main Authors: Ruibin Gao, Jing Zhu, Yifan Wu, Kaiwen Xiao, Yang Shen
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Machines
Subjects:
bearing fault diagnosis
ensemble empirical mode decomposition
mixed entropy
time convolution neural network
whale optimization algorithm
Online Access:https://www.mdpi.com/2075-1702/13/7/558
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