Multi-Scale Permutation Entropy Based on Improved LMD and HMM for Rolling Bearing Diagnosis

Multi-Scale Permutation Entropy Based on Improved LMD and HMM for Rolling Bearing Diagnosis

Based on the combination of improved Local Mean Decomposition (LMD), Multi-scale Permutation Entropy (MPE) and Hidden Markov Model (HMM), the fault types of bearings are diagnosed. Improved LMD is proposed based on the self-similarity of roller bearing vibration signal by extending the right and lef...

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Bibliographic Details
Main Authors: Yangde Gao, Francesco Villecco, Ming Li, Wanqing Song
Format: Article
Language:English
Published: MDPI AG 2017-04-01
Series:Entropy
Subjects:
improved LMD
multi-scale permutation entropy
MI
FNN
delay time
embedding dimension
HMM
back-propagation (BP)
bearing fault diagnosis
Online Access:http://www.mdpi.com/1099-4300/19/4/176

Internet

http://www.mdpi.com/1099-4300/19/4/176

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