Intelligent fault identification of hydraulic pump using deep adaptive normalized CNN and synchrosqueezed wavelet transform

•A normalized CNN is constructed for fault diagnosis of hydraulic piston pump.•Multiple signals are analyzed and used for intelligent fault diagnosis.•Bayesian algorithm is introduced for automatic selection of hyperparameters.•Severity level of different failure and changeable conditions are discus...

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Vydáno v:	Reliability engineering & system safety Ročník 224; s. 108560
Hlavní autoři:	Tang, Shengnan, Zhu, Yong, Yuan, Shouqi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Barking Elsevier Ltd 01.08.2022 Elsevier BV
Témata:	Algorithms Artificial intelligence Artificial neural networks Bayesian algorithm Bayesian analysis Fault diagnosis Feature extraction Hydraulic equipment Hydraulic pump Hydraulic transmissions Hydraulics Intelligent fault diagnosis Neural networks Normalized CNN Reliability engineering Synchrosqueezed wavelet transform Wavelet transforms Bayesian algorithm Intelligent fault diagnosis Normalized CNN Synchrosqueezed wavelet transform Hydraulic pump
ISSN:	0951-8320, 1879-0836
On-line přístup:	Získat plný text
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