An approach to fault diagnosis of reciprocating compressor valves using Teager–Kaiser energy operator and deep belief networks
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference41 articles.
1. Generalized discriminant analysis using a kernel approach;Baudat;Neural Computation,2000
2. Early fault diagnosis of rotating machinery based on wavelet packets-empirical mode decomposition feature extraction and neural network;Bin;Mechanical System and Signal Processing,2012
3. Teager–Huang analysis applied to sonar target recognition;Cexus;International Journal of Signal Processing,2004
4. Research on fault diagnosis for reciprocating compressor valve using information entropy and SVM method;Cui;Journal of Loss Prevention in the Process Industries,2009
5. Numerical simulation and experimental study of a two-stage reciprocating compressor for condition monitoring;Elhaj;Mechanical System and Signal Processing,2008
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