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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Bibliographic Details

Published in:	Applied sciences Vol. 9; no. 13; p. 2743
Main Authors:	Dai, Juying, Tang, Jian, Shao, Faming, Huang, Shuzhan, Wang, Yangyang
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.07.2019
Subjects:	Decomposition fault diagnosis IMFs multiscale permutation entropy Neural networks Signal processing stacked sparse denoising autoencoder
ISSN:	2076-3417, 2076-3417
Online Access:	Get full text
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