Lightning Fault Classification for Transmission Line Using Support Vector Machine-Reference-Cited by-同舟云学术

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Lightning Fault Classification for Transmission Line Using Support Vector Machine

Published:2023-06-12 Issue: Volume: Page:
ISSN:
Container-title:2023 12th Asia-Pacific International Conference on Lightning (APL)
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Author:

Asman Saidatul Habsah¹,Aziz Nur Fadilah Ab²,Kadir Mohd Zainal Abidin Ab³,Amirulddin Ungku Anisa Ungku²,Roslan Nurzanariah²,Elsanabary Ahmed²

Affiliation:

1. Universiti Teknologi MARA (UiTM),Solar Research Institute (SRI),Shah Alam,Selangor,Malaysia,40450

2. Institute of Power Engineering (IPE), Universiti Tenaga Nasional,Jalan IKRAM-UNITEN,Kajang,Selangor,Malaysia,43000

3. Universiti Putra Malaysia,Advanced Lightning, Power and Energy Research (ALPER),Serdang,Selangor,Malaysia,43400

Funder

Universiti Tenaga Nasional

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10181242/10181320/10181525.pdf?arnumber=10181525

Reference26 articles.

1. Fault classification in SEIG system using Hilbert-Huang transform and least square support vector machine

2. Directional relaying using support vector machine for double circuit transmission lines including cross-country and inter-circuit faults

3. Support Vector Machine-Based Fault Diagnosis of Power Transformer Using k Nearest-Neighbor Imputed DGA Dataset

4. Fault classification in smart distribution network using support vector machine

5. An improved combination of Hilbert and Park transforms for fault detection and identification in three-phase induction motors

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