A Spectrum Detection Approach for Bearing Fault Signal Based on Spectral Kurtosis
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 rang...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
|
| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2017/6106103 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832562651836710912 |
|---|---|
| author | Yunfeng Li Liqin Wang Jian Guan |
| author_facet | Yunfeng Li Liqin Wang Jian Guan |
| author_sort | Yunfeng Li |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-07250350293f4c48b4887883d4479bdf |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-07250350293f4c48b4887883d4479bdf2025-02-03T01:22:08ZengWileyShock and Vibration1070-96221875-92032017-01-01201710.1155/2017/61061036106103A Spectrum Detection Approach for Bearing Fault Signal Based on Spectral KurtosisYunfeng Li0Liqin Wang1Jian Guan2School of Mechanical Engineering, Harbin Institute of Technology, Harbin, ChinaSchool of Mechanical Engineering, Harbin Institute of Technology, Harbin, ChinaSchool of Mechanical Engineering, Harbin Institute of Technology, Harbin, ChinaAccording 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.http://dx.doi.org/10.1155/2017/6106103 |
| spellingShingle | Yunfeng Li Liqin Wang Jian Guan A Spectrum Detection Approach for Bearing Fault Signal Based on Spectral Kurtosis Shock and Vibration |
| title | A Spectrum Detection Approach for Bearing Fault Signal Based on Spectral Kurtosis |
| title_full | A Spectrum Detection Approach for Bearing Fault Signal Based on Spectral Kurtosis |
| title_fullStr | A Spectrum Detection Approach for Bearing Fault Signal Based on Spectral Kurtosis |
| title_full_unstemmed | A Spectrum Detection Approach for Bearing Fault Signal Based on Spectral Kurtosis |
| title_short | A Spectrum Detection Approach for Bearing Fault Signal Based on Spectral Kurtosis |
| title_sort | spectrum detection approach for bearing fault signal based on spectral kurtosis |
| url | http://dx.doi.org/10.1155/2017/6106103 |
| work_keys_str_mv | AT yunfengli aspectrumdetectionapproachforbearingfaultsignalbasedonspectralkurtosis AT liqinwang aspectrumdetectionapproachforbearingfaultsignalbasedonspectralkurtosis AT jianguan aspectrumdetectionapproachforbearingfaultsignalbasedonspectralkurtosis AT yunfengli spectrumdetectionapproachforbearingfaultsignalbasedonspectralkurtosis AT liqinwang spectrumdetectionapproachforbearingfaultsignalbasedonspectralkurtosis AT jianguan spectrumdetectionapproachforbearingfaultsignalbasedonspectralkurtosis |