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

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
Main Authors: Juying Dai, Jian Tang, Faming Shao, Shuzhan Huang, Yangyang Wang
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Applied Sciences
Subjects:
IMFs
multiscale permutation entropy
stacked sparse denoising autoencoder
fault diagnosis
Online Access:https://www.mdpi.com/2076-3417/9/13/2743

Internet

https://www.mdpi.com/2076-3417/9/13/2743

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