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

Internet

https://www.mdpi.com/2075-1702/9/12/345

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