Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression

Volume: 64, Issue: 1, Pages: 52 - 62
Published: Jan 1, 2015
Abstract
The detection, diagnostic, and prognostic of bearing degradation play a key role in increasing the reliability and safety of electrical machines, especially in key industrial sectors. This paper presents a new approach that combines the Hilbert-Huang transform (HHT), the support vector machine (SVM), and the support vector regression (SVR) for the monitoring of ball bearings. The proposed approach uses the HHT to extract new heath indicators...
Paper Details
Title
Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression
Published Date
Jan 1, 2015
Volume
64
Issue
1
Pages
52 - 62
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