Decision tree method for fault causes classification based on RMS-DWT analysis in 275 kV transmission lines network

This paper presents a statistical algorithm for classification of fault causes on power transmission lines. The proposed algorithm is based upon the root mean square (RMS) current duration, voltage dip, and discrete wavelet transform (DWT) measured at the sending end of a line and the decision tree...

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Main Authors: Asman, Saidatul Habsah, Ab Aziz, Nur Fadilah, Ungku Amirulddin Al Amin, Ungku Anisa, Ab Kadir, Mohd Zainal Abidin
Format: Article
Published: Multidisciplinary Digital Publishing Institute 2021
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author Asman, Saidatul Habsah
Ab Aziz, Nur Fadilah
Ungku Amirulddin Al Amin, Ungku Anisa
Ab Kadir, Mohd Zainal Abidin
author_facet Asman, Saidatul Habsah
Ab Aziz, Nur Fadilah
Ungku Amirulddin Al Amin, Ungku Anisa
Ab Kadir, Mohd Zainal Abidin
author_sort Asman, Saidatul Habsah
collection UPM
description This paper presents a statistical algorithm for classification of fault causes on power transmission lines. The proposed algorithm is based upon the root mean square (RMS) current duration, voltage dip, and discrete wavelet transform (DWT) measured at the sending end of a line and the decision tree method, a commonly accessible measurable method. Fault duration of RMS current signal, voltage dip, and DWT gives concealed data of a fault signature as a contribution to decision tree calculation which is utilized to classify various fault causes. The proposed method was carried out in the MATLAB/SIMULINK programming platform based upon the information made with the fault analysis of the 275 kV sample transmission line considering wide variations in the operating conditions. The classifier performance of different parameters was also compared in a confusion matrix form to obtain the best classification results of the decision tree.
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institution Universiti Putra Malaysia
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spelling upm.eprints-966002023-01-11T08:25:57Z http://psasir.upm.edu.my/id/eprint/96600/ Decision tree method for fault causes classification based on RMS-DWT analysis in 275 kV transmission lines network Asman, Saidatul Habsah Ab Aziz, Nur Fadilah Ungku Amirulddin Al Amin, Ungku Anisa Ab Kadir, Mohd Zainal Abidin This paper presents a statistical algorithm for classification of fault causes on power transmission lines. The proposed algorithm is based upon the root mean square (RMS) current duration, voltage dip, and discrete wavelet transform (DWT) measured at the sending end of a line and the decision tree method, a commonly accessible measurable method. Fault duration of RMS current signal, voltage dip, and DWT gives concealed data of a fault signature as a contribution to decision tree calculation which is utilized to classify various fault causes. The proposed method was carried out in the MATLAB/SIMULINK programming platform based upon the information made with the fault analysis of the 275 kV sample transmission line considering wide variations in the operating conditions. The classifier performance of different parameters was also compared in a confusion matrix form to obtain the best classification results of the decision tree. Multidisciplinary Digital Publishing Institute 2021 Article PeerReviewed Asman, Saidatul Habsah and Ab Aziz, Nur Fadilah and Ungku Amirulddin Al Amin, Ungku Anisa and Ab Kadir, Mohd Zainal Abidin (2021) Decision tree method for fault causes classification based on RMS-DWT analysis in 275 kV transmission lines network. Applied Sciences-Basel, 11. art. no. 9. pp. 1-26. ISSN 2076-3417 https://www.mdpi.com/2076-3417/11/9/4031 10.3390/app11094031
spellingShingle Asman, Saidatul Habsah
Ab Aziz, Nur Fadilah
Ungku Amirulddin Al Amin, Ungku Anisa
Ab Kadir, Mohd Zainal Abidin
Decision tree method for fault causes classification based on RMS-DWT analysis in 275 kV transmission lines network
title Decision tree method for fault causes classification based on RMS-DWT analysis in 275 kV transmission lines network
title_full Decision tree method for fault causes classification based on RMS-DWT analysis in 275 kV transmission lines network
title_fullStr Decision tree method for fault causes classification based on RMS-DWT analysis in 275 kV transmission lines network
title_full_unstemmed Decision tree method for fault causes classification based on RMS-DWT analysis in 275 kV transmission lines network
title_short Decision tree method for fault causes classification based on RMS-DWT analysis in 275 kV transmission lines network
title_sort decision tree method for fault causes classification based on rms dwt analysis in 275 kv transmission lines network
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AT ungkuamirulddinalaminungkuanisa decisiontreemethodforfaultcausesclassificationbasedonrmsdwtanalysisin275kvtransmissionlinesnetwork
AT abkadirmohdzainalabidin decisiontreemethodforfaultcausesclassificationbasedonrmsdwtanalysisin275kvtransmissionlinesnetwork