A Novel Rolling Bearing Fault Diagnosis Method Based on BLS and CNN with Attention Mechanism

A Novel Rolling Bearing Fault Diagnosis Method Based on BLS and CNN with Attention Mechanism

In actual industrial application scenarios, noise pollution makes it difficult to extract fault features accurately via conventional methods. A novel method for rolling bearing fault diagnosis combining a convolutional neural network (CNN), an attention mechanism for a squeeze-and-excitation network...

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Bibliographic Details
Main Authors: Xiaojia Wang, Tong Hua, Sheng Xu, Xibin Zhao
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Machines
Subjects:
convolutional neural network (CNN)
broad learning system (BLS)
attention mechanism
fault diagnosis
rolling bearing
Online Access:https://www.mdpi.com/2075-1702/11/2/279

Internet

https://www.mdpi.com/2075-1702/11/2/279

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