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Adaptive Bearing Fault Diagnosis based on Wavelet Packet Decomposition and LMD Permutation Entropy

WANG Ming-yue MIAO Bing-rong YUAN Cheng-biao

国际设备工程与管理（英文版）2016，Vol.21Issue(4)：202-216,15.

国际设备工程与管理（英文版）2016，Vol.21Issue(4)：202-216,15.DOI:10.13434/j.cnki.1007-4546.2016.0402

Adaptive Bearing Fault Diagnosis based on Wavelet Packet Decomposition and LMD Permutation Entropy

WANG Ming-yue ¹MIAO Bing-rong ¹YUAN Cheng-biao¹

作者信息

1. Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu 610031, P.R.China
折叠

摘要

关键词

fault diagnosis/wavelet packet decomposition (WPD)/local mean decomposition (LMD)/permutation entropy/support vector machine (SVM)

Key words

fault diagnosis/wavelet packet decomposition (WPD)/local mean decomposition (LMD)/permutation entropy/support vector machine (SVM)

引用本文复制引用

WANG Ming-yue,MIAO Bing-rong,YUAN Cheng-biao..Adaptive Bearing Fault Diagnosis based on Wavelet Packet Decomposition and LMD Permutation Entropy[J].国际设备工程与管理（英文版）,2016,21(4):202-216,15.

基金项目

This work was supported by the National Natural Science Foundation of China (51375405) （51375405）

Independent Project of the State Key Laboratory of Traction Power (2016TP_ 10). （2016TP_ 10）

国际设备工程与管理（英文版）

ISSN：1007-4546

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