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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Vydané v:	IOP conference series. Materials Science and Engineering Ročník 1062; číslo 1; s. 12002 - 12011
Hlavní autori:	Saufi, S R, Ahmad, Z A B, Leong, M S, Hee, L M
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bristol IOP Publishing 01.02.2021
Predmet:	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
On-line prístup:	Získať plný text
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