A Fault Diagnosis Method of Contactor Based on Support Vector Classifier

Contactors are widely used in power, distribution and power applications. Health of contactor is a key factor to the healthy operation of power system. In this paper, a dynamic model of armature movement in the process of contactor closing is established, and the relationship between the contactor c...

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Main Authors: YANG Jiawei, ZENG Weizhang, ZHU Wenlong, XU Hailong, ZHANG Zhongjing
Format: Article
Language:zho
Published: Editorial Office of Control and Information Technology 2022-04-01
Series:Kongzhi Yu Xinxi Jishu
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Online Access:http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2022.02.018
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author YANG Jiawei
ZENG Weizhang
ZHU Wenlong
XU Hailong
ZHANG Zhongjing
author_facet YANG Jiawei
ZENG Weizhang
ZHU Wenlong
XU Hailong
ZHANG Zhongjing
author_sort YANG Jiawei
collection DOAJ
description Contactors are widely used in power, distribution and power applications. Health of contactor is a key factor to the healthy operation of power system. In this paper, a dynamic model of armature movement in the process of contactor closing is established, and the relationship between the contactor coil voltage, coil current, action time and the structure parameters of the contactor is studied. Based on this relationship, a fault diagnosis method of contactor based on support vector machine is proposed. Through this method, diagnosis and classification of four types of contactor common faults are realized, and the diagnostic accuracy is over 93%. At the same time, combined with the charging process data of train traction converter, the action process of contactor is verified for ten times, and the results show that the diagnosis is accurate.
format Article
id doaj-art-25b22bba900d4761a69cf15a0830ac2d
institution Kabale University
issn 2096-5427
language zho
publishDate 2022-04-01
publisher Editorial Office of Control and Information Technology
record_format Article
series Kongzhi Yu Xinxi Jishu
spelling doaj-art-25b22bba900d4761a69cf15a0830ac2d2025-08-25T06:49:37ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272022-04-0112012425760074A Fault Diagnosis Method of Contactor Based on Support Vector ClassifierYANG JiaweiZENG WeizhangZHU WenlongXU HailongZHANG ZhongjingContactors are widely used in power, distribution and power applications. Health of contactor is a key factor to the healthy operation of power system. In this paper, a dynamic model of armature movement in the process of contactor closing is established, and the relationship between the contactor coil voltage, coil current, action time and the structure parameters of the contactor is studied. Based on this relationship, a fault diagnosis method of contactor based on support vector machine is proposed. Through this method, diagnosis and classification of four types of contactor common faults are realized, and the diagnostic accuracy is over 93%. At the same time, combined with the charging process data of train traction converter, the action process of contactor is verified for ten times, and the results show that the diagnosis is accurate.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2022.02.018contactormechanical modelsupport vector classifierfault diagnosis
spellingShingle YANG Jiawei
ZENG Weizhang
ZHU Wenlong
XU Hailong
ZHANG Zhongjing
A Fault Diagnosis Method of Contactor Based on Support Vector Classifier
Kongzhi Yu Xinxi Jishu
contactor
mechanical model
support vector classifier
fault diagnosis
title A Fault Diagnosis Method of Contactor Based on Support Vector Classifier
title_full A Fault Diagnosis Method of Contactor Based on Support Vector Classifier
title_fullStr A Fault Diagnosis Method of Contactor Based on Support Vector Classifier
title_full_unstemmed A Fault Diagnosis Method of Contactor Based on Support Vector Classifier
title_short A Fault Diagnosis Method of Contactor Based on Support Vector Classifier
title_sort fault diagnosis method of contactor based on support vector classifier
topic contactor
mechanical model
support vector classifier
fault diagnosis
url http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2022.02.018
work_keys_str_mv AT yangjiawei afaultdiagnosismethodofcontactorbasedonsupportvectorclassifier
AT zengweizhang afaultdiagnosismethodofcontactorbasedonsupportvectorclassifier
AT zhuwenlong afaultdiagnosismethodofcontactorbasedonsupportvectorclassifier
AT xuhailong afaultdiagnosismethodofcontactorbasedonsupportvectorclassifier
AT zhangzhongjing afaultdiagnosismethodofcontactorbasedonsupportvectorclassifier
AT yangjiawei faultdiagnosismethodofcontactorbasedonsupportvectorclassifier
AT zengweizhang faultdiagnosismethodofcontactorbasedonsupportvectorclassifier
AT zhuwenlong faultdiagnosismethodofcontactorbasedonsupportvectorclassifier
AT xuhailong faultdiagnosismethodofcontactorbasedonsupportvectorclassifier
AT zhangzhongjing faultdiagnosismethodofcontactorbasedonsupportvectorclassifier