Effective Prediction of Bearing Fault Degradation under Different Crack Sizes Using a Deep Neural Network

Exact evaluation of the degradation levels in bearing defects is one of the most essential works in bearing condition monitoring. This paper proposed an efficient evaluation method using a deep neural network (DNN) for correct prediction of degradation levels of bearings under different crack size c...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Hung Ngoc Nguyen, Cheol-Hong Kim, Jong-Myon Kim
Format:	Article
Language:	English
Published:	MDPI AG 2018-11-01
Subjects:	degradation levels bearing defects AE signal DNN envelope spectrum analysis
Online Access:	https://www.mdpi.com/2076-3417/8/11/2332