Gear Fault Diagnosis Method based on Multi-domain Feature and Improved D-S Evidence Theory
In order to fully and accurately identify the fault category of gear，a feature space model based on multi-domain characteristic parameters such as time domain，frequency domain and energy is established. On this basis, an intelligent fault diagnosis method based on multi-domain feature and improved D...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2019-09-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.09.028 |
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| _version_ | 1841548844898189312 |
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| author | Fang Liu Yanxue Wang |
| author_facet | Fang Liu Yanxue Wang |
| author_sort | Fang Liu |
| collection | DOAJ |
| description | In order to fully and accurately identify the fault category of gear，a feature space model based on multi-domain characteristic parameters such as time domain，frequency domain and energy is established. On this basis, an intelligent fault diagnosis method based on multi-domain feature and improved D-S evidence theory is proposed. Relevant feature parameters are extracted from the measured data as the diagnostic samples，and multiple evidences are constructed with the preliminary diagnosis results of particle swarm optimization support vector machine（PSO-SVM）. The experimental results verify the effectiveness of the final diagnosis results obtained by the improved D-S evidence theory in this work. |
| format | Article |
| id | doaj-art-93966e98a9bc4b368cc23aa711c43cc7 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2019-09-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-93966e98a9bc4b368cc23aa711c43cc72025-01-10T13:58:00ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392019-09-014315916530642359Gear Fault Diagnosis Method based on Multi-domain Feature and Improved D-S Evidence TheoryFang LiuYanxue WangIn order to fully and accurately identify the fault category of gear，a feature space model based on multi-domain characteristic parameters such as time domain，frequency domain and energy is established. On this basis, an intelligent fault diagnosis method based on multi-domain feature and improved D-S evidence theory is proposed. Relevant feature parameters are extracted from the measured data as the diagnostic samples，and multiple evidences are constructed with the preliminary diagnosis results of particle swarm optimization support vector machine（PSO-SVM）. The experimental results verify the effectiveness of the final diagnosis results obtained by the improved D-S evidence theory in this work.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.09.028Gear fault diagnosisPSO-SVMWeighted D-S evidence theoryInformation fusion |
| spellingShingle | Fang Liu Yanxue Wang Gear Fault Diagnosis Method based on Multi-domain Feature and Improved D-S Evidence Theory Jixie chuandong Gear fault diagnosis PSO-SVM Weighted D-S evidence theory Information fusion |
| title | Gear Fault Diagnosis Method based on Multi-domain Feature and Improved D-S Evidence Theory |
| title_full | Gear Fault Diagnosis Method based on Multi-domain Feature and Improved D-S Evidence Theory |
| title_fullStr | Gear Fault Diagnosis Method based on Multi-domain Feature and Improved D-S Evidence Theory |
| title_full_unstemmed | Gear Fault Diagnosis Method based on Multi-domain Feature and Improved D-S Evidence Theory |
| title_short | Gear Fault Diagnosis Method based on Multi-domain Feature and Improved D-S Evidence Theory |
| title_sort | gear fault diagnosis method based on multi domain feature and improved d s evidence theory |
| topic | Gear fault diagnosis PSO-SVM Weighted D-S evidence theory Information fusion |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.09.028 |
| work_keys_str_mv | AT fangliu gearfaultdiagnosismethodbasedonmultidomainfeatureandimproveddsevidencetheory AT yanxuewang gearfaultdiagnosismethodbasedonmultidomainfeatureandimproveddsevidencetheory |