Fault Diagnosis of Rolling Bearing Based on Multiscale Intrinsic Mode Function Permutation Entropy and a Stacked Sparse Denoising Autoencoder

Effective intelligent fault diagnosis of bearings is important for improving safety and reliability of machine. Benefiting from the training advantages, deep learning method can automatically and adaptively learn more abstract and high-level features without much priori knowledge. To realize represe...

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Vydané v:	Applied sciences Ročník 9; číslo 13; s. 2743
Hlavní autori:	Dai, Juying, Tang, Jian, Shao, Faming, Huang, Shuzhan, Wang, Yangyang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.07.2019
Predmet:	Decomposition fault diagnosis IMFs multiscale permutation entropy Neural networks Signal processing stacked sparse denoising autoencoder
ISSN:	2076-3417, 2076-3417
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