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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Detalles Bibliográficos

Autores principales:	Juying Dai, Jian Tang, Faming Shao, Shuzhan Huang, Yangyang Wang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2019-07-01
Colección:	Applied Sciences
Materias:	IMFs multiscale permutation entropy stacked sparse denoising autoencoder fault diagnosis
Acceso en línea:	https://www.mdpi.com/2076-3417/9/13/2743
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