Fault Diagnosis of Vehicle Gearbox based on Support Vector Machine Optimized by Improved Beetle Antennae Search

Aiming at the fact that the performance of support vector machine (SVM) in vehicle gearbox fault diagnosis is greatly affected by parameters,a new method of vehicle gearbox fault diagnosis based on improved SVM is proposed based on the research of beetle antennae search (BAS). Compared with BAS,IBAS...

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Main Authors: Wenshan Qiao, Jin Hua, Meihong Chen
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2022-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.06.023
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author Wenshan Qiao
Jin Hua
Meihong Chen
author_facet Wenshan Qiao
Jin Hua
Meihong Chen
author_sort Wenshan Qiao
collection DOAJ
description Aiming at the fact that the performance of support vector machine (SVM) in vehicle gearbox fault diagnosis is greatly affected by parameters,a new method of vehicle gearbox fault diagnosis based on improved SVM is proposed based on the research of beetle antennae search (BAS). Compared with BAS,IBAS modified the step size formula and added Gaussian variation behavior,so that the search ability of the algorithm in the early and late period is balanced and has the ability to jump out of the local optimal,and better SVM parameters could be obtained. The results of gearbox fault diagnosis show that the proposed method can effectively improve the accuracy of fault diagnosis,and the results are better than those of other methods.
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spelling doaj.art-d04ea5707d784345b0230566a5806d1d2023-05-26T09:50:46ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392022-01-014615416030471953Fault Diagnosis of Vehicle Gearbox based on Support Vector Machine Optimized by Improved Beetle Antennae SearchWenshan QiaoJin HuaMeihong ChenAiming at the fact that the performance of support vector machine (SVM) in vehicle gearbox fault diagnosis is greatly affected by parameters,a new method of vehicle gearbox fault diagnosis based on improved SVM is proposed based on the research of beetle antennae search (BAS). Compared with BAS,IBAS modified the step size formula and added Gaussian variation behavior,so that the search ability of the algorithm in the early and late period is balanced and has the ability to jump out of the local optimal,and better SVM parameters could be obtained. The results of gearbox fault diagnosis show that the proposed method can effectively improve the accuracy of fault diagnosis,and the results are better than those of other methods.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.06.023Beetle antennae search;Support vector machine;Gearbox;Fault diagnosis
spellingShingle Wenshan Qiao
Jin Hua
Meihong Chen
Fault Diagnosis of Vehicle Gearbox based on Support Vector Machine Optimized by Improved Beetle Antennae Search
Jixie chuandong
Beetle antennae search;Support vector machine;Gearbox;Fault diagnosis
title Fault Diagnosis of Vehicle Gearbox based on Support Vector Machine Optimized by Improved Beetle Antennae Search
title_full Fault Diagnosis of Vehicle Gearbox based on Support Vector Machine Optimized by Improved Beetle Antennae Search
title_fullStr Fault Diagnosis of Vehicle Gearbox based on Support Vector Machine Optimized by Improved Beetle Antennae Search
title_full_unstemmed Fault Diagnosis of Vehicle Gearbox based on Support Vector Machine Optimized by Improved Beetle Antennae Search
title_short Fault Diagnosis of Vehicle Gearbox based on Support Vector Machine Optimized by Improved Beetle Antennae Search
title_sort fault diagnosis of vehicle gearbox based on support vector machine optimized by improved beetle antennae search
topic Beetle antennae search;Support vector machine;Gearbox;Fault diagnosis
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.06.023
work_keys_str_mv AT wenshanqiao faultdiagnosisofvehiclegearboxbasedonsupportvectormachineoptimizedbyimprovedbeetleantennaesearch
AT jinhua faultdiagnosisofvehiclegearboxbasedonsupportvectormachineoptimizedbyimprovedbeetleantennaesearch
AT meihongchen faultdiagnosisofvehiclegearboxbasedonsupportvectormachineoptimizedbyimprovedbeetleantennaesearch