Deep Learning Algorithms for Bearing Fault Diagnostics—A Comprehensive Review

Deep Learning Algorithms for Bearing Fault Diagnostics—A Comprehensive Review

In this survey paper, we systematically summarize existing literature on bearing fault diagnostics with deep learning (DL) algorithms. While conventional machine learning (ML) methods, including artificial neural network, principal component analysis, support vector machines, etc., have been success...

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Bibliographic Details
Main Authors:	Shen Zhang, Shibo Zhang, Bingnan Wang, Thomas G. Habetler
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Access
Subjects:	Bearing fault deep learning diagnostics feature extraction machine learning
Online Access:	https://ieeexplore.ieee.org/document/8988271/

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