A novel fault classification scheme based on least square SVM

Author

Dubey, H.C. ; Tiwari, A.K. ; Nandita ; Ray, P.K. ; Mohanty, S.R. ; Kishor, Nand

Author_Institution

Dept. of Electron. & Commun. Eng., Motilal Nehru Nat. Inst. of Technol., Allahabad, India

fYear

2012

fDate

16-18 March 2012

Firstpage

1

Lastpage

5

Abstract

This paper presents a novel approach for fault classification and section identification in a series compensated transmission line based on least square support vector machine. The current signal corresponding to one-fourth of the post fault cycle is used as input to proposed modular LS-SVM classifier. The proposed scheme uses four binary classifier; three for selection of three phases and fourth for ground detection. The proposed classification scheme is found to be accurate and reliable in presence of noise as well. The simulation results validate the efficacy of proposed scheme for accurate classification of fault in a series compensated transmission line.

Keywords

compensation; fault diagnosis; least squares approximations; pattern classification; power transmission faults; power transmission lines; support vector machines; binary classifier; fault classification scheme; fault cycle; ground detection; least square SVM; section identification; series compensated transmission line; support vector machine; Accuracy; Fault diagnosis; Kernel; Power transmission lines; Support vector machines; Training; Wavelet transforms; Digital relaying; distance relay; fault classification; least square-support vector machine; modular classifier; series compensated transmission line;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering and Systems (SCES), 2012 Students Conference on

Conference_Location

Allahabad, Uttar Pradesh

Print_ISBN

978-1-4673-0456-6

Type

conf

DOI

10.1109/SCES.2012.6199047

Filename

6199047