Convolutional Neural Network Based Fault Detection for Rotating Machinery

Vibration analysis is a well-established technique for condition monitoring of rotating machines as the vibration patterns differ depending on the fault or machine condition. Currently, mainly manually-engineered features, such as the ball pass frequencies of the raceway, RMS, kurtosis an crest, are...

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Vydáno v:	Journal of sound and vibration Ročník 377; s. 331 - 345
Hlavní autoři:	Janssens, Olivier, Slavkovikj, Viktor, Vervisch, Bram, Stockman, Kurt, Loccufier, Mia, Verstockt, Steven, Van de Walle, Rik, Van Hoecke, Sofie
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.09.2016
Témata:	Condition monitoring Convolutional neural network Fault detection Feature learning Machine learning Vibration analysis Condition monitoring Feature learning Fault detection Convolutional neural network Machine learning Vibration analysis
ISSN:	0022-460X, 1095-8568
On-line přístup:	Získat plný text
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