FEATURE EXTRACTION METHOD OF SOUND SIGNAL TO ROLLING BEARING BASED ON BLIND SOURCE SEPARATION AND MORLET WAVELET
It is a new method of sound signal testing and analysis,but the SNR is too low,so we raise a feature extraction method of sound signal to rolling bearing based on blind source separation and adaptive Morlet wavelet. Firstly,the wavelet packet is used to change the single channel of the voice signal...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2018-01-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.03.004 |
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| author | LI JingJiao CHEN EnLi LIU YongQiang |
| author_facet | LI JingJiao CHEN EnLi LIU YongQiang |
| author_sort | LI JingJiao |
| collection | DOAJ |
| description | It is a new method of sound signal testing and analysis,but the SNR is too low,so we raise a feature extraction method of sound signal to rolling bearing based on blind source separation and adaptive Morlet wavelet. Firstly,the wavelet packet is used to change the single channel of the voice signal separated into two virtual channels,then using BSS to extract the source of signal. Minimum Shannon entropy is used to optimize the Morlet wavelet shape factor,in order to match with the impact component. Then,an abrupt information detection method based on the transitional stage of singular curve of wavelet coefficient matrix is used to choose the appropriate scale for the wavelet transformation. Finally,the fault feature of the signal can be extracted using this method. The experimental results shows that the method could extract sound signal fault feature more effectively. |
| format | Article |
| id | doaj-art-c2df7ea3ff024fedadf12abb9ece9774 |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2018-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-c2df7ea3ff024fedadf12abb9ece97742025-01-15T02:32:08ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692018-01-014052853330601890FEATURE EXTRACTION METHOD OF SOUND SIGNAL TO ROLLING BEARING BASED ON BLIND SOURCE SEPARATION AND MORLET WAVELETLI JingJiaoCHEN EnLiLIU YongQiangIt is a new method of sound signal testing and analysis,but the SNR is too low,so we raise a feature extraction method of sound signal to rolling bearing based on blind source separation and adaptive Morlet wavelet. Firstly,the wavelet packet is used to change the single channel of the voice signal separated into two virtual channels,then using BSS to extract the source of signal. Minimum Shannon entropy is used to optimize the Morlet wavelet shape factor,in order to match with the impact component. Then,an abrupt information detection method based on the transitional stage of singular curve of wavelet coefficient matrix is used to choose the appropriate scale for the wavelet transformation. Finally,the fault feature of the signal can be extracted using this method. The experimental results shows that the method could extract sound signal fault feature more effectively.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.03.004Sound signalBSSWavelet transformShannon entropyFault diagnosis |
| spellingShingle | LI JingJiao CHEN EnLi LIU YongQiang FEATURE EXTRACTION METHOD OF SOUND SIGNAL TO ROLLING BEARING BASED ON BLIND SOURCE SEPARATION AND MORLET WAVELET Jixie qiangdu Sound signal BSS Wavelet transform Shannon entropy Fault diagnosis |
| title | FEATURE EXTRACTION METHOD OF SOUND SIGNAL TO ROLLING BEARING BASED ON BLIND SOURCE SEPARATION AND MORLET WAVELET |
| title_full | FEATURE EXTRACTION METHOD OF SOUND SIGNAL TO ROLLING BEARING BASED ON BLIND SOURCE SEPARATION AND MORLET WAVELET |
| title_fullStr | FEATURE EXTRACTION METHOD OF SOUND SIGNAL TO ROLLING BEARING BASED ON BLIND SOURCE SEPARATION AND MORLET WAVELET |
| title_full_unstemmed | FEATURE EXTRACTION METHOD OF SOUND SIGNAL TO ROLLING BEARING BASED ON BLIND SOURCE SEPARATION AND MORLET WAVELET |
| title_short | FEATURE EXTRACTION METHOD OF SOUND SIGNAL TO ROLLING BEARING BASED ON BLIND SOURCE SEPARATION AND MORLET WAVELET |
| title_sort | feature extraction method of sound signal to rolling bearing based on blind source separation and morlet wavelet |
| topic | Sound signal BSS Wavelet transform Shannon entropy Fault diagnosis |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.03.004 |
| work_keys_str_mv | AT lijingjiao featureextractionmethodofsoundsignaltorollingbearingbasedonblindsourceseparationandmorletwavelet AT chenenli featureextractionmethodofsoundsignaltorollingbearingbasedonblindsourceseparationandmorletwavelet AT liuyongqiang featureextractionmethodofsoundsignaltorollingbearingbasedonblindsourceseparationandmorletwavelet |