Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation

[Display omitted] •An automatic feature extraction method is proposed.•Manual feature extraction procedures can be replaced with deep learning approach.•Valid features can be extracted from a time-frequency representation of time-series.•A pre-trained layer by layer model is better than a model with...

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Vydané v:	Applied soft computing Ročník 58; s. 53 - 64
Hlavní autori:	Cabrera, Diego, Sancho, Fernando, Li, Chuan, Cerrada, Mariela, Sánchez, René-Vinicio, Pacheco, Fannia, de Oliveira, José Valente
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.09.2017
Predmet:	Auto-encoder Convolution Deep learning Helical gearbox Wavelet packets Deep learning Wavelet packets Helical gearbox Convolution Auto-encoder
ISSN:	1568-4946, 1872-9681
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