Adaptive Redundant Lifting Wavelet Transform Based on Fitting for Fault Feature Extraction of Roller Bearings

Adaptive Redundant Lifting Wavelet Transform Based on Fitting for Fault Feature Extraction of Roller Bearings

A least square method based on data fitting is proposed to construct a new lifting wavelet, together with the nonlinear idea and redundant algorithm, the adaptive redundant lifting transform based on fitting is firstly stated in this paper. By variable combination selections of basis function, sampl...

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Bibliographic Details
Main Authors: Huaqing Wang, Lixin Gao, Ligang Cai, Zijing Yang
Format: Article
Language:English
Published: MDPI AG 2012-03-01
Series:Sensors
Subjects:
data fitting
lifting wavelet construction
adaptive
roller bearings
feature extraction
Online Access:http://www.mdpi.com/1424-8220/12/4/4381/

Internet

http://www.mdpi.com/1424-8220/12/4/4381/

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