Fault diagnosis approach of protective switching device based on support vector machines

Author

Ma, Shaohua ; Zhao, Xiaofang

Author_Institution

Coll. of Electr. Eng., Shenyang Univ. of Technol., Shenyang

fYear

2008

fDate

17-20 Oct. 2008

Firstpage

4014

Lastpage

4017

Abstract

A fault diagnosis approach of protective switching device (PSD) is presented in this paper. The support vector machines (SVM) which is a new kind of fault diagnosis methods is used to classify the faults including short circuit, overload, ..., etc. By training and learning, the fault model is built, the faults are diagnosed quickly and exactly, and accordingly the protection feature of PSD is improved.

Keywords

electric machine analysis computing; fault diagnosis; machine protection; support vector machines; fault diagnosis approach; fault model; protective switching device; short circuit fault; support vector machines; Circuit faults; Fault diagnosis; Hydrogen; Machine learning; Microcomputers; Protection; Support vector machine classification; Support vector machines; Switches; Switching circuits;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3826-6

Electronic_ISBN

978-7-5062-9221-4

Type

conf

Filename

4771484

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=483080