Bearing Fault Diagnosis Using Deep Sparse Autoencoder

Rolling element bearing is an important component in various machinery. Faulty on bearing cause severe equipment damage that lead to high maintenance cost. The development of deep learning has been paid a considerable amount of attention to fault diagnosis on rolling element bearing. Traditional mac...

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Bibliographic Details
Published in:	IOP conference series. Materials Science and Engineering Vol. 1062; no. 1; pp. 12002 - 12011
Main Authors:	Saufi, S R, Ahmad, Z A B, Leong, M S, Hee, L M
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 01.02.2021
Subjects:	ant lion optimization Artificial neural networks bearing Comparative studies Deep learning deep sparse autoencoder Fault diagnosis Feature extraction Feature recognition Learning theory Machine learning Maintenance costs Model testing Neural networks Optimization Roller bearings Support vector machines teager kaiser energy operator
ISSN:	1757-8981, 1757-899X
Online Access:	Get full text
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