Rolling Bearing Fault Diagnosis Based on ELCD Permutation Entropy and RVM

Rolling Bearing Fault Diagnosis Based on ELCD Permutation Entropy and RVM

Aiming at the nonstationary characteristic of a gear fault vibration signal, a recognition method based on permutation entropy of ensemble local characteristic-scale decomposition (ELCD) and relevance vector machine (RVM) is proposed. First, the vibration signal was decomposed by ELCD; then a series...

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Bibliographic Details
Main Authors:	Jiang Xingmeng, Wu Li, Pan Liwu, Ge Mingtao, Hu Daidi
Format:	Article
Language:	English
Published:	Wiley 2016-01-01
Series:	Journal of Engineering
Online Access:	http://dx.doi.org/10.1155/2016/1308108
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