A Spectrum Detection Approach for Bearing Fault Signal Based on Spectral Kurtosis
Joint Authors
Li, Yunfeng
Wang, Liqin
Guan, Jian
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-19
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
According to the similarity between Morlet wavelet and fault signal and the sensitive characteristics of spectral kurtosis for the impact signal, a new wavelet spectrum detection approach based on spectral kurtosis for bearing fault signal is proposed.
This method decreased the band-pass filter range and reduced the wavelet window width significantly.
As a consequence, the bearing fault signal was detected adaptively, and time-frequency characteristics of the fault signal can be extracted accurately.
The validity of this method was verified by the identifications of simulated shock signal and test bearing fault signal.
The method provides a new understanding of wavelet spectrum detection based on spectral kurtosis for rolling element bearing fault signal.
American Psychological Association (APA)
Li, Yunfeng& Wang, Liqin& Guan, Jian. 2017. A Spectrum Detection Approach for Bearing Fault Signal Based on Spectral Kurtosis. Shock and Vibration،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1204775
Modern Language Association (MLA)
Li, Yunfeng…[et al.]. A Spectrum Detection Approach for Bearing Fault Signal Based on Spectral Kurtosis. Shock and Vibration No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1204775
American Medical Association (AMA)
Li, Yunfeng& Wang, Liqin& Guan, Jian. A Spectrum Detection Approach for Bearing Fault Signal Based on Spectral Kurtosis. Shock and Vibration. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1204775
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1204775