Time-Shift Multiscale Fuzzy Entropy and Laplacian Support Vector Machine Based Rolling Bearing Fault Diagnosis

Time-Shift Multiscale Fuzzy Entropy and Laplacian Support Vector Machine Based Rolling Bearing Fault Diagnosis

Multiscale entropy (MSE), as a complexity measurement method of time series, has been widely used to extract the fault information hidden in machinery vibration signals. However, the insufficient coarse graining in MSE will result in fault pattern information missing and the sample entropy used in M...

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Bibliographic Details
Main Authors: Xiaolong Zhu, Jinde Zheng, Haiyang Pan, Jiahan Bao, Yifang Zhang
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Entropy
Subjects:
multiscale entropy
fuzzy entropy
time-shift multiscale fuzzy entropy
rolling bearing
fault diagnosis
Laplacian support vector machine
Online Access:http://www.mdpi.com/1099-4300/20/8/602

Internet

http://www.mdpi.com/1099-4300/20/8/602

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