Fault Diagnosis of Bearing Based on Cauchy Kernel Relevance Vector Machine Classifier with SIWPSO
Bearing is an important component of mechanical system; any defects of bearing will lead to serious damage for the entire mechanical system. In this paper, Cauchy kernel relevance vector machine with stochastic inertia weight particle swarm optimization algorithm (SIWPSO-CauchyRVM) is proposed to fa...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2015/129361 |
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| _version_ | 1850179003280785408 |
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| author | Sheng-wei Fei Yong He |
| author_facet | Sheng-wei Fei Yong He |
| author_sort | Sheng-wei Fei |
| collection | DOAJ |
| description | Bearing is an important component of mechanical system; any defects of bearing will lead to serious damage for the entire mechanical system. In this paper, Cauchy kernel relevance vector machine with stochastic inertia weight particle swarm optimization algorithm (SIWPSO-CauchyRVM) is proposed to fault diagnosis for bearing. As the selection of the Cauchy kernel parameter has a certain influence on the diagnosis result of relevance vector machine, stochastic inertia weight PSO is used to select the Cauchy kernel parameter. The relative energies of 16 wavelet coefficients of the forth layer of vibration signal of bearing can be used as the diagnosis features of bearing. The experimental results indicate that fault diagnosis method of bearing based on SIWPSO-CauchyRVM has excellent diagnosis ability. |
| format | Article |
| id | doaj-art-be9b2e994a9f47e295cb0bcc55249fdc |
| institution | OA Journals |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-be9b2e994a9f47e295cb0bcc55249fdc2025-08-20T02:18:35ZengWileyShock and Vibration1070-96221875-92032015-01-01201510.1155/2015/129361129361Fault Diagnosis of Bearing Based on Cauchy Kernel Relevance Vector Machine Classifier with SIWPSOSheng-wei Fei0Yong He1School of Mechanical Engineering, Donghua University, Shanghai 201620, ChinaSchool of Mechanical Engineering, Donghua University, Shanghai 201620, ChinaBearing is an important component of mechanical system; any defects of bearing will lead to serious damage for the entire mechanical system. In this paper, Cauchy kernel relevance vector machine with stochastic inertia weight particle swarm optimization algorithm (SIWPSO-CauchyRVM) is proposed to fault diagnosis for bearing. As the selection of the Cauchy kernel parameter has a certain influence on the diagnosis result of relevance vector machine, stochastic inertia weight PSO is used to select the Cauchy kernel parameter. The relative energies of 16 wavelet coefficients of the forth layer of vibration signal of bearing can be used as the diagnosis features of bearing. The experimental results indicate that fault diagnosis method of bearing based on SIWPSO-CauchyRVM has excellent diagnosis ability.http://dx.doi.org/10.1155/2015/129361 |
| spellingShingle | Sheng-wei Fei Yong He Fault Diagnosis of Bearing Based on Cauchy Kernel Relevance Vector Machine Classifier with SIWPSO Shock and Vibration |
| title | Fault Diagnosis of Bearing Based on Cauchy Kernel Relevance Vector Machine Classifier with SIWPSO |
| title_full | Fault Diagnosis of Bearing Based on Cauchy Kernel Relevance Vector Machine Classifier with SIWPSO |
| title_fullStr | Fault Diagnosis of Bearing Based on Cauchy Kernel Relevance Vector Machine Classifier with SIWPSO |
| title_full_unstemmed | Fault Diagnosis of Bearing Based on Cauchy Kernel Relevance Vector Machine Classifier with SIWPSO |
| title_short | Fault Diagnosis of Bearing Based on Cauchy Kernel Relevance Vector Machine Classifier with SIWPSO |
| title_sort | fault diagnosis of bearing based on cauchy kernel relevance vector machine classifier with siwpso |
| url | http://dx.doi.org/10.1155/2015/129361 |
| work_keys_str_mv | AT shengweifei faultdiagnosisofbearingbasedoncauchykernelrelevancevectormachineclassifierwithsiwpso AT yonghe faultdiagnosisofbearingbasedoncauchykernelrelevancevectormachineclassifierwithsiwpso |