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Classification of Faults Due to Transient Overvoltage Source Using Artificial Neural Network

Electric power supplies to apparatus; Electrolysis; Lightning; Direct strike; Equipment damage; Fault classification; Lightning faults; Lightning strikes; Natural phenomena; Permanent damage; Transient over-voltage; Neural networks

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Bibliographic Details
Main Authors: Shapiyan N.S., Aziz N.F.A., Yasin Z.M., Salim N.A.
Other Authors: 57253302400
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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id my.uniten.dspace-26041
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spelling my.uniten.dspace-260412023-05-29T17:06:17Z Classification of Faults Due to Transient Overvoltage Source Using Artificial Neural Network Shapiyan N.S. Aziz N.F.A. Yasin Z.M. Salim N.A. 57253302400 57221906825 57211410254 36806685300 Electric power supplies to apparatus; Electrolysis; Lightning; Direct strike; Equipment damage; Fault classification; Lightning faults; Lightning strikes; Natural phenomena; Permanent damage; Transient over-voltage; Neural networks Fault is a common problem in power system and classifying the cause would be helpful to minimize the risk of permanent damage to the equipment and increase the quality of the power supply. Transient in power system is one of the causes of fault because it takes time to be discovered and the impact is clear when the severity is at the worst such as the equipment is totally damaged and cannot be fixed anymore. Lightning strikes is a natural phenomenon that can produce transient in power system and eventually produce fault. Most of lightning cases are direct strike to equipment that result to exceeding the threshold equipment limit. However, faults due to lightning are easily mistakenly classified since the strikes could be indirect and the time taken to identify the fault could be affected by other factors such as external contact by animals. This paper investigates type of faults due to transient overvoltage source and fault classification method by using Artificial Neural Network. Initially, the data from EPRI's website is extracted and analysed before it can be initialized as input data in MATLAB. Since faults due to lightning can lead to equipment damage, this paper classifies faults based on lightning and non-lightning. The results obtained have shown that the developed method is able to classify fault types to either lightning or non-lightning faults. � 2021 IEEE. Final 2023-05-29T09:06:16Z 2023-05-29T09:06:16Z 2021 Conference Paper 10.1109/ICSGRC53186.2021.9515230 2-s2.0-85114633263 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114633263&doi=10.1109%2fICSGRC53186.2021.9515230&partnerID=40&md5=0d139602e438894114c8c68014523427 https://irepository.uniten.edu.my/handle/123456789/26041 305 310 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Electric power supplies to apparatus; Electrolysis; Lightning; Direct strike; Equipment damage; Fault classification; Lightning faults; Lightning strikes; Natural phenomena; Permanent damage; Transient over-voltage; Neural networks
author2 57253302400
author_facet 57253302400
Shapiyan N.S.
Aziz N.F.A.
Yasin Z.M.
Salim N.A.
format Conference Paper
author Shapiyan N.S.
Aziz N.F.A.
Yasin Z.M.
Salim N.A.
spellingShingle Shapiyan N.S.
Aziz N.F.A.
Yasin Z.M.
Salim N.A.
Classification of Faults Due to Transient Overvoltage Source Using Artificial Neural Network
author_sort Shapiyan N.S.
title Classification of Faults Due to Transient Overvoltage Source Using Artificial Neural Network
title_short Classification of Faults Due to Transient Overvoltage Source Using Artificial Neural Network
title_full Classification of Faults Due to Transient Overvoltage Source Using Artificial Neural Network
title_fullStr Classification of Faults Due to Transient Overvoltage Source Using Artificial Neural Network
title_full_unstemmed Classification of Faults Due to Transient Overvoltage Source Using Artificial Neural Network
title_sort classification of faults due to transient overvoltage source using artificial neural network
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806425914159923200
score 13.214268

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