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Image of Vibration Testing and System Dynamics
ISSN: 2475-4811 (print)
ISSN: 2475-482X (online)
Journal of Vibration Testing and System Dynamics

C. Steve Suh (editor), Pawel Olejnik (editor),

Xianguo Tuo (editor)

Pawel Olejnik (editor)

Lodz University of Technology, Poland

Email: pawel.olejnik@p.lodz.pl

C. Steve Suh (editor)

Texas A&M University, USA

Email: ssuh@tamu.edu

Xiangguo Tuo (editor)

Sichuan University of Science and Engineering, China

Email: tuoxianguo@suse.edu.cn

A New Method of Fault Phase Selection for Transmission Line Based on Composite Feature of Fault Current and Support Vector Machine

Journal of Vibration Testing and System Dynamics 6(2) (2022) 215--234 | DOI:10.5890/JVTSD.2022.06.004

Jie Yang$^{1}$, Hao Wu$^{1,2 }$, Sheng Wang$^{1}$, Xing-xing Dong$^{1}$

$^1$ Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong 643000, China

$^2$ Sichuan Key Laboratory of Artificial Intelligence, Zigong, Sichuan 643000, China

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Abstract

Aiming at the problem of fault phase selection for high-voltage transmission lines, a new method for identifying fault types of transmission lines based on the composite characteristics of fault current combined with support vector machines (SVM) is proposed. First, perform phase-to-mode conversion on the three-phase currents fault component extracted by the measurement unit, and then obtain the Euclidean distance, cosine similarity and Pearson correlation coefficient between the two modulus currents, and finally combine the calculated results in order. Characteristic sample vector to characterize the type of transmission line fault. Then use the powerful pattern recognition capability of the support vector machine to identify the fault type. The simulation results show that the proposed algorithm can accurately identify specific fault types of transmission lines under various working conditions.

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