Rolling Bearing Fault Diagnosis Based on Deep Learning and Autoencoder Information Fusion

Rolling Bearing Fault Diagnosis Based on Deep Learning and Autoencoder Information Fusion

The multisource information fusion technique is currently one of the common methods for rolling bearing fault diagnosis. However, the current research rarely fuses information from the data of different sensors. At the same time, the dispersion itself in the VAE method has asymmetric characteristics...

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Bibliographic Details
Main Authors: Jianpeng Ma, Chengwei Li, Guangzhu Zhang
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Symmetry
Subjects:
deep learning
variational autoencoder
data fusion
rolling bearing
vibration signal
weak magnetic signal
Online Access:https://www.mdpi.com/2073-8994/14/1/13

Internet

https://www.mdpi.com/2073-8994/14/1/13

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