Intelligent Motor Bearing Fault Diagnosis Using Channel Attention-Based CNN
Many components of electric vehicles contain rolling bearings, and the operating condition of rolling bearings often affects the operating performance of electric vehicles. Monitoring the operating status of the bearings is one of the key technologies to ensure the safe operation of the bearings. We...
Main Authors: | Jianguo Yin, Gang Cen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-11-01
|
Series: | World Electric Vehicle Journal |
Subjects: | |
Online Access: | https://www.mdpi.com/2032-6653/13/11/208 |
Similar Items
-
Convolutional Neural Network with Attention Mechanism and Visual Vibration Signal Analysis for Bearing Fault Diagnosis
by: Qing Zhang, et al.
Published: (2024-03-01) -
A Novel Rolling Bearing Fault Diagnosis Method Based on BLS and CNN with Attention Mechanism
by: Xiaojia Wang, et al.
Published: (2023-02-01) -
Real-Time Motor Fault Diagnosis Based on TCN and Attention
by: Hui Zhang, et al.
Published: (2022-03-01) -
ROLLING BEARING FAULT DIAGNOSIS BASED ON FUSION CNN AND PSO-SVM
by: WANG YongDing, et al.
Published: (2021-01-01) -
Fault Diagnosis Method for Bearing Based on Attention Mechanism and Multi-Scale Convolutional Neural Network
by: Qimin Shen, et al.
Published: (2024-01-01)