Gear Pitting Fault Diagnosis Using Integrated CNN and GRU Network with Both Vibration and Acoustic Emission Signals

This paper deals with gear pitting fault diagnosis problem and presents a method by integrating convolutional neural network (CNN) and gated recurrent unit (GRU) networks with vibration and acoustic emission signals to solve the problem. The presented method first trains a one-dimensional CNN with a...

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Detalhes bibliográficos

Principais autores:	Xueyi Li, Jialin Li, Yongzhi Qu, David He
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2019-02-01
coleção:	Applied Sciences
Assuntos:	gear pitting fault diagnosis gated recurrent unit one-dimensional convolutional neural network acoustic emission signal vibration signal
Acesso em linha:	https://www.mdpi.com/2076-3417/9/4/768
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