A Variational Stacked Autoencoder with Harmony Search Optimizer for Valve Train Fault Diagnosis of Diesel Engine

Diesel engine fault diagnosis is vital due to enhanced reliability and economic efficiency requirements. The extracted features in traditional fault diagnosis are constructed manually, which is very cumbersome because of the requirement for lots of expertise. To handle this issue, this paper propose...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 20; H. 1; S. 223
Hauptverfasser:	Chen, Kun, Mao, Zhiwei, Zhao, Haipeng, Jiang, Zhinong, Zhang, Jinjie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 31.12.2019 MDPI
Schlagworte:	Algorithms autoencoder Decomposition deep learning diesel engine Diesel engines Fault diagnosis harmony search optimizer Optimization Principal components analysis Regularization methods Signal processing Vibration Wavelet transforms deep learning diesel engine fault diagnosis autoencoder harmony search optimizer
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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