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

Internet

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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