Rolling Element Bearing Fault Diagnosis by Combining Adaptive Local Iterative Filtering, Modified Fuzzy Entropy and Support Vector Machine

Rolling Element Bearing Fault Diagnosis by Combining Adaptive Local Iterative Filtering, Modified Fuzzy Entropy and Support Vector Machine

A new fault feature extraction method for rolling element bearing is put forward in this paper based on the adaptive local iterative filtering (ALIF) algorithm and the modified fuzzy entropy. Due to the bearing vibration signals’ non-stationary and nonlinear characteristics, the ALIF metho...

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Bibliographic Details
Main Authors: Keheng Zhu, Liang Chen, Xiong Hu
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Entropy
Subjects:
adaptive local iterative filtering
modified fuzzy entropy
SVM
rolling element bearing
fault diagnosis
Online Access:https://www.mdpi.com/1099-4300/20/12/926

Internet

https://www.mdpi.com/1099-4300/20/12/926

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