Fault diagnosis of rolling element bearing based on wavelet kernel principle component analysis-coupled hidden Markov model
Author:
Publisher
JVE International Ltd.
Subject
Mechanical Engineering,General Materials Science
Link
http://www.jvejournals.com/Vibro/fulltextpdf/JVE-18666.pdf
Reference24 articles.
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3. Geramifard O., Xu J. X., Panda S. K. Fault detection and diagnosis in synchronous motors using hidden Markov model-based semi-nonparametric approach. Engineering Applications of Artificial Intelligence, Vol. 26, Issue 8, 2013, p. 1919-1929.
4. Georgoulas G., Mustafa M. O., Tsoumas I. P. Principal component analysis of the start-up transient and hidden Markov modeling for broken rotor bar fault diagnosis in asynchronous machines. Expert Systems with Application, Vol. 40, Issue 17, 2013, p. 7024-7033.
5. Purushotham V., Narayanan S., Prasad S. A. N. Multi-fault diagnosis of rolling bearing elements using wavelet analysis and hidden Markov model based fault recognition. NDT&E International, Vol. 38, Issue 8, 2005, p. 654-664.
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