A Novel Bearing Fault Diagnosis Method Based on Improved Convolutional Neural Network and Multi-Sensor Fusion

A Novel Bearing Fault Diagnosis Method Based on Improved Convolutional Neural Network and Multi-Sensor Fusion

Bearings are key components of modern mechanical equipment. To address the issue that the limited information contained in the single-source signal of the bearing leads to the limited accuracy of the single-source fault diagnosis method, a multi-sensor fusion fault diagnosis method is proposed to im...

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Bibliographic Details
Main Authors: Zhongyao Wang, Xiao Xu, Dongli Song, Zejun Zheng, Weidong Li
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Machines
Subjects:
rolling bearing
fault diagnosis
convolutional neural network
variational Bayesian inference
decision-level fusion
Online Access:https://www.mdpi.com/2075-1702/13/3/216
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