Research of the Rolling Bearing Fault Feature Extraction Technology based on the Wavelet Noise Reduction and RSSD

Research of the Rolling Bearing Fault Feature Extraction Technology based on the Wavelet Noise Reduction and RSSD

The rolling bearing fault vibration signals are nonlinear and non- stationary and have strong noise background,in order to extract the fault feature effectively,a feature extraction technology which combines wavelet denoising and resonance- based sparse signal decomposition（ RSSD） is proposed. The r...

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Bibliographic Details
Main Authors: Chen Baojia, Yan Wenchao, Wu Zhiping, Zhu Chenxi
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2016-01-01
Series:Jixie chuandong
Subjects:
Rolling bearing
Fault diagnosis
Quality factor
RSSD
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.05.003

Internet

http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.05.003

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