A Deep Neural Network-Based Feature Fusion for Bearing Fault Diagnosis

A Deep Neural Network-Based Feature Fusion for Bearing Fault Diagnosis

This paper presents a novel method for fusing information from multiple sensor systems for bearing fault diagnosis. In the proposed method, a convolutional neural network is exploited to handle multiple signal sources simultaneously. The most important finding of this paper is that a deep neural net...

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Bibliographic Details
Main Authors: Duy Tang Hoang, Xuan Toa Tran, Mien Van, Hee Jun Kang
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
bearing fault diagnosis
deep learning
deep neural network
sensor fusion
Online Access:https://www.mdpi.com/1424-8220/21/1/244

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