A FAULT DIAGNOSIS METHOD BASED ON SUPPORT VECTOR MACHINE OPTIMIZED BY IMPROVED FRUIT FLY OPTIMIZATION ALGORITHM
In order to improve diagnosis accuracy of support vector machine（SVM） in mechanical fault diagnosis, fruit fly optimization algorithm was improved and a fault diagnosis method based on SVM optimized by improved FOA was proposed. In improved FOA（IFOA）, history location information was introduced when...
| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Strength
2019-01-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.03.011 |
| _version_ | 1797767720451702784 |
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| author | HUANG XiaoLu ZHOU XiangZhen |
| author_facet | HUANG XiaoLu ZHOU XiangZhen |
| author_sort | HUANG XiaoLu |
| collection | DOAJ |
| description | In order to improve diagnosis accuracy of support vector machine（SVM） in mechanical fault diagnosis, fruit fly optimization algorithm was improved and a fault diagnosis method based on SVM optimized by improved FOA was proposed. In improved FOA（IFOA）, history location information was introduced when fruit fly update its location, thus improved diversity of fruit fly group and the ability of jump out local optimum and better parameters of SVM can be obtained and classification performance of SVM was improved. Gear fault diagnosis experiment results validated that IFOA improved the identification accuracy of SVM and has a certain superiority when compared with some other methods. |
| first_indexed | 2024-03-12T20:43:55Z |
| format | Article |
| id | doaj.art-3f90943fdc0344728f5acd6daab29a97 |
| institution | Directory Open Access Journal |
| issn | 1001-9669 |
| language | zho |
| last_indexed | 2024-03-12T20:43:55Z |
| publishDate | 2019-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj.art-3f90943fdc0344728f5acd6daab29a972023-08-01T07:49:20ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692019-01-014156857430604911A FAULT DIAGNOSIS METHOD BASED ON SUPPORT VECTOR MACHINE OPTIMIZED BY IMPROVED FRUIT FLY OPTIMIZATION ALGORITHMHUANG XiaoLuZHOU XiangZhenIn order to improve diagnosis accuracy of support vector machine（SVM） in mechanical fault diagnosis, fruit fly optimization algorithm was improved and a fault diagnosis method based on SVM optimized by improved FOA was proposed. In improved FOA（IFOA）, history location information was introduced when fruit fly update its location, thus improved diversity of fruit fly group and the ability of jump out local optimum and better parameters of SVM can be obtained and classification performance of SVM was improved. Gear fault diagnosis experiment results validated that IFOA improved the identification accuracy of SVM and has a certain superiority when compared with some other methods.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.03.011Improved fruit fly optimization algorithm;Parameters optimization;Support vector machine;Fault diagnosis |
| spellingShingle | HUANG XiaoLu ZHOU XiangZhen A FAULT DIAGNOSIS METHOD BASED ON SUPPORT VECTOR MACHINE OPTIMIZED BY IMPROVED FRUIT FLY OPTIMIZATION ALGORITHM Jixie qiangdu Improved fruit fly optimization algorithm;Parameters optimization;Support vector machine;Fault diagnosis |
| title | A FAULT DIAGNOSIS METHOD BASED ON SUPPORT VECTOR MACHINE OPTIMIZED BY IMPROVED FRUIT FLY OPTIMIZATION ALGORITHM |
| title_full | A FAULT DIAGNOSIS METHOD BASED ON SUPPORT VECTOR MACHINE OPTIMIZED BY IMPROVED FRUIT FLY OPTIMIZATION ALGORITHM |
| title_fullStr | A FAULT DIAGNOSIS METHOD BASED ON SUPPORT VECTOR MACHINE OPTIMIZED BY IMPROVED FRUIT FLY OPTIMIZATION ALGORITHM |
| title_full_unstemmed | A FAULT DIAGNOSIS METHOD BASED ON SUPPORT VECTOR MACHINE OPTIMIZED BY IMPROVED FRUIT FLY OPTIMIZATION ALGORITHM |
| title_short | A FAULT DIAGNOSIS METHOD BASED ON SUPPORT VECTOR MACHINE OPTIMIZED BY IMPROVED FRUIT FLY OPTIMIZATION ALGORITHM |
| title_sort | fault diagnosis method based on support vector machine optimized by improved fruit fly optimization algorithm |
| topic | Improved fruit fly optimization algorithm;Parameters optimization;Support vector machine;Fault diagnosis |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.03.011 |
| work_keys_str_mv | AT huangxiaolu afaultdiagnosismethodbasedonsupportvectormachineoptimizedbyimprovedfruitflyoptimizationalgorithm AT zhouxiangzhen afaultdiagnosismethodbasedonsupportvectormachineoptimizedbyimprovedfruitflyoptimizationalgorithm AT huangxiaolu faultdiagnosismethodbasedonsupportvectormachineoptimizedbyimprovedfruitflyoptimizationalgorithm AT zhouxiangzhen faultdiagnosismethodbasedonsupportvectormachineoptimizedbyimprovedfruitflyoptimizationalgorithm |