GEARBOX DIAGNOSIS BASED ON SVM OPTIMIZED BY DOUBLE GROUP COEVOLUTION FRUIT FLY OPTIMIZATION ALGORITHM

In order to improve the optimization effect of the fruit fly optimization algorithm(FOA) on support vector machine(SVM) parameters, the evolution strategy of FOA was improved, and the duoble group coevolution fruit fly optimization algorithm(DGCFOA) was proposed in this paper. The DGCFOA was used to...

Full description

Bibliographic Details
Main Authors: LEI Biao, HUI EnMing, GUAN HaiYing, WANG XiaoJun
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2022-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.03.035
_version_ 1797768006713999360
author LEI Biao
HUI EnMing
GUAN HaiYing
WANG XiaoJun
author_facet LEI Biao
HUI EnMing
GUAN HaiYing
WANG XiaoJun
author_sort LEI Biao
collection DOAJ
description In order to improve the optimization effect of the fruit fly optimization algorithm(FOA) on support vector machine(SVM) parameters, the evolution strategy of FOA was improved, and the duoble group coevolution fruit fly optimization algorithm(DGCFOA) was proposed in this paper. The DGCFOA was used to optimize the parameters of SVM and then used to gearbox fault diagnosis. Diagnosis results show that DGCFOA algorithm can obtained better SVM parameters when compared with FOA, it significantly improved fault diagnosis accuracy of gearbox. In addition, the diagnosis results also show that DGCFOA has higher diagnostic accuracy and more obvious advantages when compared with some other methods.
first_indexed 2024-03-12T20:48:13Z
format Article
id doaj.art-8b057b0d9361455a9cf46cbd75451883
institution Directory Open Access Journal
issn 1001-9669
language zho
last_indexed 2024-03-12T20:48:13Z
publishDate 2022-01-01
publisher Editorial Office of Journal of Mechanical Strength
record_format Article
series Jixie qiangdu
spelling doaj.art-8b057b0d9361455a9cf46cbd754518832023-08-01T07:38:55ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692022-01-014475375729913299GEARBOX DIAGNOSIS BASED ON SVM OPTIMIZED BY DOUBLE GROUP COEVOLUTION FRUIT FLY OPTIMIZATION ALGORITHMLEI BiaoHUI EnMingGUAN HaiYingWANG XiaoJunIn order to improve the optimization effect of the fruit fly optimization algorithm(FOA) on support vector machine(SVM) parameters, the evolution strategy of FOA was improved, and the duoble group coevolution fruit fly optimization algorithm(DGCFOA) was proposed in this paper. The DGCFOA was used to optimize the parameters of SVM and then used to gearbox fault diagnosis. Diagnosis results show that DGCFOA algorithm can obtained better SVM parameters when compared with FOA, it significantly improved fault diagnosis accuracy of gearbox. In addition, the diagnosis results also show that DGCFOA has higher diagnostic accuracy and more obvious advantages when compared with some other methods.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.03.035Fruit fly optimization algorithm;Coevolution;Support vector machine;Gearbox;Fault diagnosis
spellingShingle LEI Biao
HUI EnMing
GUAN HaiYing
WANG XiaoJun
GEARBOX DIAGNOSIS BASED ON SVM OPTIMIZED BY DOUBLE GROUP COEVOLUTION FRUIT FLY OPTIMIZATION ALGORITHM
Jixie qiangdu
Fruit fly optimization algorithm;Coevolution;Support vector machine;Gearbox;Fault diagnosis
title GEARBOX DIAGNOSIS BASED ON SVM OPTIMIZED BY DOUBLE GROUP COEVOLUTION FRUIT FLY OPTIMIZATION ALGORITHM
title_full GEARBOX DIAGNOSIS BASED ON SVM OPTIMIZED BY DOUBLE GROUP COEVOLUTION FRUIT FLY OPTIMIZATION ALGORITHM
title_fullStr GEARBOX DIAGNOSIS BASED ON SVM OPTIMIZED BY DOUBLE GROUP COEVOLUTION FRUIT FLY OPTIMIZATION ALGORITHM
title_full_unstemmed GEARBOX DIAGNOSIS BASED ON SVM OPTIMIZED BY DOUBLE GROUP COEVOLUTION FRUIT FLY OPTIMIZATION ALGORITHM
title_short GEARBOX DIAGNOSIS BASED ON SVM OPTIMIZED BY DOUBLE GROUP COEVOLUTION FRUIT FLY OPTIMIZATION ALGORITHM
title_sort gearbox diagnosis based on svm optimized by double group coevolution fruit fly optimization algorithm
topic Fruit fly optimization algorithm;Coevolution;Support vector machine;Gearbox;Fault diagnosis
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.03.035
work_keys_str_mv AT leibiao gearboxdiagnosisbasedonsvmoptimizedbydoublegroupcoevolutionfruitflyoptimizationalgorithm
AT huienming gearboxdiagnosisbasedonsvmoptimizedbydoublegroupcoevolutionfruitflyoptimizationalgorithm
AT guanhaiying gearboxdiagnosisbasedonsvmoptimizedbydoublegroupcoevolutionfruitflyoptimizationalgorithm
AT wangxiaojun gearboxdiagnosisbasedonsvmoptimizedbydoublegroupcoevolutionfruitflyoptimizationalgorithm