End to end machine learning for fault detection and classification in power transmission lines

Rafique, F; Fu, L; Mai, RK

Rafique, F (corresponding author), Southwest Jiaotong Univ, Sch Elect Engn, Chengdu, Sichuan, Peoples R China.; Rafique, F (corresponding author), NED Univ Engn & Technol, Dept Elect Engn, Karachi, Pakistan.

ELECTRIC POWER SYSTEMS RESEARCH, 2021; 199 ():

Abstract

This paper proposes a new machine learning approach for fault detection and classification tasks in electrical power transmission networks. This metho......

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