Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems

Bearing elements are vital in induction motors; therefore, early fault detection of rolling-element bearings is essential in machine health monitoring. With the advantage of fault feature representation techniques of time–frequency domain for nonstationary signals and the advent of convolutional neu...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Minh Tuan Pham, Jong-Myon Kim, Cheol Hong Kim
Format:	Article
Language:	English
Published:	MDPI AG 2020-12-01
Subjects:	fault diagnosis bearing fault machine health monitoring acoustic emission signals signal decomposition convolutional neural network
Online Access:	https://www.mdpi.com/1424-8220/20/23/6886