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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מידע ביבליוגרפי

Principais autores:	Minh Tuan Pham, Jong-Myon Kim, Cheol Hong Kim
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2020-12-01
סדרה:	Sensors
נושאים:	fault diagnosis bearing fault machine health monitoring acoustic emission signals signal decomposition convolutional neural network
גישה מקוונת:	https://www.mdpi.com/1424-8220/20/23/6886
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