A Bearing Fault Diagnosis Method Using Multi-Branch Deep Neural Network

A Bearing Fault Diagnosis Method Using Multi-Branch Deep Neural Network

Feature extraction from a signal is the most important step in signal-based fault diagnosis. Deep learning or deep neural network (DNN) is an effective method to extract features from signals. In this paper, a novel vibration signal-based bearing fault diagnosis method using DNN is proposed. First,...

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Bibliographic Details
Main Authors:	Van-Cuong Nguyen, Duy-Tang Hoang, Xuan-Toa Tran, Mien Van, Hee-Jun Kang
Format:	Article
Language:	English
Published:	MDPI AG 2021-12-01
Series:	Machines
Subjects:	bearing fault diagnosis deep learning deep neural network
Online Access:	https://www.mdpi.com/2075-1702/9/12/345

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