The fault feature extraction and classification of gear using principal component analysis and kernel principal component analysis based on the wavelet packet transform-Reference-Cited by-同舟云学术

The fault feature extraction and classification of gear using principal component analysis and kernel principal component analysis based on the wavelet packet transform

Published:2014-08 Issue: Volume:54 Page:118-132
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Shao Renping,Hu Wentao,Wang Yayun,Qi Xiankun

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference23 articles.

1. Fault detection and diagnosis of gear system based on higher order cumulants;Shao;Chin. J. Mech. Eng.,2008

2. Multi-faults classification of gear system based on combining wavelet packet transform with support vector machine;Shao;Inform. Int. Interdiscipl. J.,2012

3. Gear fault identification and localization using analytic wavelet transform of vibration signal;Jena;Measurement,2013

4. Vibration model of rolling element bearings in a rotor–bearing system for fault diagnosis;Cong;J. Sound Vib.,2013

5. Time–frequency analysis of the first and the second heartbeat sounds;Debbal;Appl. Math. Comput.,2007

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