Automatic Transmission Bearing Fault Diagnosis Based on Comprehensive Index Method and Convolutional Neural Network

Automatic Transmission Bearing Fault Diagnosis Based on Comprehensive Index Method and Convolutional Neural Network

Rolling-element bearing fault diagnosis has some problems in the applied environment, such as low signal-to-noise ratio, weak feature extraction, low efficiency of feature learning and the complex structure of diagnosis models. A fault diagnosis method based on the comprehensive index method, comple...

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Bibliographic Details
Main Authors: Guangxin Li, Yong Chen, Wenqing Wang, Yimin Wu, Rui Liu
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:World Electric Vehicle Journal
Subjects:
rolling-element bearing
complete ensemble empirical mode decomposition with adaptive noise
independent component analysis
convolutional neural network
fault diagnosis
Online Access:https://www.mdpi.com/2032-6653/13/10/184

Internet

https://www.mdpi.com/2032-6653/13/10/184

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