Time-Shift Multi-scale Weighted Permutation Entropy and GWO-SVM Based Fault Diagnosis Approach for Rolling Bearing

Time-Shift Multi-scale Weighted Permutation Entropy and GWO-SVM Based Fault Diagnosis Approach for Rolling Bearing

Multi-scale permutation entropy (MPE) is an effective nonlinear dynamic approach for complexity measurement of time series and it has been widely applied to fault feature representation of rolling bearing. However, the coarse-grained time series in MPE becomes shorter and shorter with the increase o...

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Bibliographic Details
Main Authors: Zhilin Dong, Jinde Zheng, Siqi Huang, Haiyang Pan, Qingyun Liu
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Entropy
Subjects:
multi-scale permutation entropy
time-shift multi-scale weighted permutation entropy
rolling bearing
fault diagnosis
gray wolf optimization support vector machine
Online Access:https://www.mdpi.com/1099-4300/21/6/621

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