An Intelligent Fault Diagnosis Method for Reciprocating Compressors Based on LMD and SDAE

The effective fault diagnosis in the prognostic and health management of reciprocating compressors has been a research hotspot for a long time. The vibration signal of reciprocating compressors is nonlinear and non-stationary. However, the traditional methods applied to processing such signals have...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 19; H. 5; S. 1041
Hauptverfasser:	Liu, Yang, Duan, Lixiang, Yuan, Zhuang, Wang, Ning, Zhao, Jianping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI 28.02.2019 MDPI AG
Schlagworte:	deep learning fault diagnosis local mean decomposition reciprocating compressor stack denoising autoencoder deep learning fault diagnosis reciprocating compressor stack denoising autoencoder local mean decomposition
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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