BEARING FAULT DIAGNOSIS METHOD BASED ON WINGER DISTRIBUTION AND SINGULAR VALUE DECOMPOSITION
In order to fully exploit the useful information of winger Time-Frequency Spectrum,a fault diagnosis scheme based on winger distribution of vibration signal combining with singular value decomposition is proposed in this paper. Firstly,winger distribution is applied to analyze the original vibration...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2015-01-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2015.01.020 |
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| _version_ | 1841534469121507328 |
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| author | QIN HongMao SUN JiaBing SUN Ning |
| author_facet | QIN HongMao SUN JiaBing SUN Ning |
| author_sort | QIN HongMao |
| collection | DOAJ |
| description | In order to fully exploit the useful information of winger Time-Frequency Spectrum,a fault diagnosis scheme based on winger distribution of vibration signal combining with singular value decomposition is proposed in this paper. Firstly,winger distribution is applied to analyze the original vibration signal,then,analysis to winger spectral matrix based on singular value decomposition is conducted,and characteristic sequences which reflect the mechanical fault state is achieved,finally,taking the singular value of winger spectral as eigenvector to do the fault diagnosis with Support Vector Machine（ SVM）. The experimental results show that this method can effectively extract fault features. |
| format | Article |
| id | doaj-art-23866806473146fdb33321c38ed4cc7d |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2015-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-23866806473146fdb33321c38ed4cc7d2025-01-15T02:39:04ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692015-01-0137283130590839BEARING FAULT DIAGNOSIS METHOD BASED ON WINGER DISTRIBUTION AND SINGULAR VALUE DECOMPOSITIONQIN HongMaoSUN JiaBingSUN NingIn order to fully exploit the useful information of winger Time-Frequency Spectrum,a fault diagnosis scheme based on winger distribution of vibration signal combining with singular value decomposition is proposed in this paper. Firstly,winger distribution is applied to analyze the original vibration signal,then,analysis to winger spectral matrix based on singular value decomposition is conducted,and characteristic sequences which reflect the mechanical fault state is achieved,finally,taking the singular value of winger spectral as eigenvector to do the fault diagnosis with Support Vector Machine（ SVM）. The experimental results show that this method can effectively extract fault features.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2015.01.020Bearing faultVibration signalSingular value decompositionWinger distributionSVM |
| spellingShingle | QIN HongMao SUN JiaBing SUN Ning BEARING FAULT DIAGNOSIS METHOD BASED ON WINGER DISTRIBUTION AND SINGULAR VALUE DECOMPOSITION Jixie qiangdu Bearing fault Vibration signal Singular value decomposition Winger distribution SVM |
| title | BEARING FAULT DIAGNOSIS METHOD BASED ON WINGER DISTRIBUTION AND SINGULAR VALUE DECOMPOSITION |
| title_full | BEARING FAULT DIAGNOSIS METHOD BASED ON WINGER DISTRIBUTION AND SINGULAR VALUE DECOMPOSITION |
| title_fullStr | BEARING FAULT DIAGNOSIS METHOD BASED ON WINGER DISTRIBUTION AND SINGULAR VALUE DECOMPOSITION |
| title_full_unstemmed | BEARING FAULT DIAGNOSIS METHOD BASED ON WINGER DISTRIBUTION AND SINGULAR VALUE DECOMPOSITION |
| title_short | BEARING FAULT DIAGNOSIS METHOD BASED ON WINGER DISTRIBUTION AND SINGULAR VALUE DECOMPOSITION |
| title_sort | bearing fault diagnosis method based on winger distribution and singular value decomposition |
| topic | Bearing fault Vibration signal Singular value decomposition Winger distribution SVM |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2015.01.020 |
| work_keys_str_mv | AT qinhongmao bearingfaultdiagnosismethodbasedonwingerdistributionandsingularvaluedecomposition AT sunjiabing bearingfaultdiagnosismethodbasedonwingerdistributionandsingularvaluedecomposition AT sunning bearingfaultdiagnosismethodbasedonwingerdistributionandsingularvaluedecomposition |