Fault Diagnosis of Motor in Frequency Domain Signal by Stacked De-noising Auto-encoder | Zendy

Xiaoping Zhao | Zendy; Jiaxin Wu | Zendy; Yonghong Zhang | Zendy; Yun-Qing Shi | Zendy; Lihua Wang | Zendy

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Fault Diagnosis of Motor in Frequency Domain Signal by Stacked De-noising Auto-encoder

Author(s) -

Xiaoping Zhao,

Jiaxin Wu,

Yonghong Zhang,

Yun-Qing Shi,

Lihua Wang

Publication year - 2018

Publication title -

computers, materials and continua/computers, materials and continua (print)

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.788

H-Index - 40

eISSN - 1546-2226

pISSN - 1546-2218

DOI - 10.32604/cmc.2018.02490

Subject(s) - computer science , artificial intelligence , fault (geology) , deep learning , autoencoder , artificial neural network , field (mathematics) , frequency domain , pattern recognition (psychology) , encoder , visualization , signal processing , feature extraction , time domain , backpropagation , unsupervised learning , computer vision , digital signal processing , computer hardware , mathematics , seismology , geology , operating system , pure mathematics

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