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A Lighted Deep Convolutional Neural Network Based Fault Diagnosis of Rotating Machinery

To improve the fault diagnosis performance for rotating machinery, an efficient, noise-resistant end-to-end deep learning (DL) algorithm is proposed based on the advantages of the wavelet packet transform in vibration signal processing (the capability to extract multiscale information and more spect...

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Detalles Bibliográficos
Autores principales:	Ma, Shangjun, Cai, Wei, Liu, Wenkai, Shang, Zhaowei, Liu, Geng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566980/ https://www.ncbi.nlm.nih.gov/pubmed/31137616 http://dx.doi.org/10.3390/s19102381

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