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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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 20; no. 1; p. 223
Main Authors:	Chen, Kun, Mao, Zhiwei, Zhao, Haipeng, Jiang, Zhinong, Zhang, Jinjie
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 31.12.2019 MDPI
Subjects:	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 Access:	Get full text
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