Partial discharge diagnosis in GIS based on pulse sequence features and optimized machine learning classification techniques

Partial discharge diagnosis in GIS based on pulse sequence features and optimized machine learning classification techniques

Partial discharge (PD) diagnostics in Gas Insulated Switchgear (GIS) is important for reliable and secure operation of electrical utilities. Different techniques were used for PD diagnosis in GIS. In this work, PD diagnosis in GIS is proposed based on PD pulse sequence. PD pulse sequence only requir...

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Bibliographic Details
Main Authors: Mansour, Diaa-Eldin A., Taha, Ibrahim B.m., Farade, Rizwan A., Abdul Wahab, Noor Izzri
Format: Article
Published: Elsevier 2022
Online Access:http://psasir.upm.edu.my/id/eprint/102663/
https://linkinghub.elsevier.com/retrieve/pii/S0378779622003777
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Institution: Universiti Putra Malaysia

Internet

http://psasir.upm.edu.my/id/eprint/102663/
https://linkinghub.elsevier.com/retrieve/pii/S0378779622003777

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