Fault Diagnosis of Rolling Bearing based on Improved HHT Energy Entropy and SVM
Aiming at the non- stationary feature of the rolling bearing vibration signal and the fault samples are always in a small number in its fault diagnosis,a rolling bearing fault diagnosis method based on improved Hilbert- Huang transform energy entropy and support vector machine is proposed. Firstly,t...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2016-01-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.12.036 |
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| _version_ | 1841548074955046912 |
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| author | Zhou Xiaolong Jiang Zhenhai Ma Fenglei |
| author_facet | Zhou Xiaolong Jiang Zhenhai Ma Fenglei |
| author_sort | Zhou Xiaolong |
| collection | DOAJ |
| description | Aiming at the non- stationary feature of the rolling bearing vibration signal and the fault samples are always in a small number in its fault diagnosis,a rolling bearing fault diagnosis method based on improved Hilbert- Huang transform energy entropy and support vector machine is proposed. Firstly,the vibration signal in different condition is decomposed by improved empirical mode decomposition,and the intrinsic mode functions are obtained and sensitive mode functions are selected by the sensitivity evaluation method. Then,the energy entropy of sensitive mode functions serve as input vectors of support vector machine. Finally,by using support vector machine to identify the rolling bearing fault pattern and condition. The experiment results show that this method can identify rolling bearing fault patterns effectively and offer a practical method for its fault diagnosis. |
| format | Article |
| id | doaj-art-8dc68c1b37f54628a7fb51bcfb597e58 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2016-01-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-8dc68c1b37f54628a7fb51bcfb597e582025-01-10T14:14:38ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392016-01-014016416829927855Fault Diagnosis of Rolling Bearing based on Improved HHT Energy Entropy and SVMZhou XiaolongJiang ZhenhaiMa FengleiAiming at the non- stationary feature of the rolling bearing vibration signal and the fault samples are always in a small number in its fault diagnosis,a rolling bearing fault diagnosis method based on improved Hilbert- Huang transform energy entropy and support vector machine is proposed. Firstly,the vibration signal in different condition is decomposed by improved empirical mode decomposition,and the intrinsic mode functions are obtained and sensitive mode functions are selected by the sensitivity evaluation method. Then,the energy entropy of sensitive mode functions serve as input vectors of support vector machine. Finally,by using support vector machine to identify the rolling bearing fault pattern and condition. The experiment results show that this method can identify rolling bearing fault patterns effectively and offer a practical method for its fault diagnosis.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.12.036Hilbert-Huang transformEnergy entropySupport vector machineRolling bearingFault diagnosis |
| spellingShingle | Zhou Xiaolong Jiang Zhenhai Ma Fenglei Fault Diagnosis of Rolling Bearing based on Improved HHT Energy Entropy and SVM Jixie chuandong Hilbert-Huang transform Energy entropy Support vector machine Rolling bearing Fault diagnosis |
| title | Fault Diagnosis of Rolling Bearing based on Improved HHT Energy Entropy and SVM |
| title_full | Fault Diagnosis of Rolling Bearing based on Improved HHT Energy Entropy and SVM |
| title_fullStr | Fault Diagnosis of Rolling Bearing based on Improved HHT Energy Entropy and SVM |
| title_full_unstemmed | Fault Diagnosis of Rolling Bearing based on Improved HHT Energy Entropy and SVM |
| title_short | Fault Diagnosis of Rolling Bearing based on Improved HHT Energy Entropy and SVM |
| title_sort | fault diagnosis of rolling bearing based on improved hht energy entropy and svm |
| topic | Hilbert-Huang transform Energy entropy Support vector machine Rolling bearing Fault diagnosis |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.12.036 |
| work_keys_str_mv | AT zhouxiaolong faultdiagnosisofrollingbearingbasedonimprovedhhtenergyentropyandsvm AT jiangzhenhai faultdiagnosisofrollingbearingbasedonimprovedhhtenergyentropyandsvm AT mafenglei faultdiagnosisofrollingbearingbasedonimprovedhhtenergyentropyandsvm |