A Novel Deep Learning System with Data Augmentation for Machine Fault Diagnosis from Vibration Signals

In real engineering scenarios, it is difficult to collect adequate cases with faulty conditions to train an intelligent diagnosis system. To alleviate the problem of limited fault data, this paper proposes a fault diagnosis method combining a generative adversarial network (GAN) and stacked denoisin...

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Hlavní autoři:	Qiang Fu, Huawei Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2020-08-01
Edice:	Applied Sciences
Témata:	vibration signals fault diagnosis generative adversarial networks stacked denoising auto-encoder data augmentation
On-line přístup:	https://www.mdpi.com/2076-3417/10/17/5765
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