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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| Format: | Article |
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MDPI AG
2021-04-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/9/4031 |
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| author | Saidatul Habsah Asman Nur Fadilah Ab Aziz Ungku Anisa Ungku Amirulddin Mohd Zainal Abidin Ab Kadir |
| author_facet | Saidatul Habsah Asman Nur Fadilah Ab Aziz Ungku Anisa Ungku Amirulddin Mohd Zainal Abidin Ab Kadir |
| author_sort | Saidatul Habsah Asman |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T11:51:21Z |
| format | Article |
| id | doaj.art-9dede425f8db44a1b734c9560c4cbe74 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T11:51:21Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-9dede425f8db44a1b734c9560c4cbe742023-11-21T17:40:49ZengMDPI AGApplied Sciences2076-34172021-04-01119403110.3390/app11094031Decision Tree Method for Fault Causes Classification Based on RMS-DWT Analysis in 275 kV Transmission Lines NetworkSaidatul Habsah Asman0Nur Fadilah Ab Aziz1Ungku Anisa Ungku Amirulddin2Mohd Zainal Abidin Ab Kadir3Institute of Power Engineering (IPE), Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang 43000, Selangor, MalaysiaInstitute of Power Engineering (IPE), Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang 43000, Selangor, MalaysiaInstitute of Power Engineering (IPE), Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang 43000, Selangor, MalaysiaAdvanced Lightning, Power and Energy Research (ALPER), Universiti Putra Malaysia, Serdang 43400, Selangor, MalaysiaThis 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.https://www.mdpi.com/2076-3417/11/9/4031fault causestransmission linesdecision treeroot mean squarediscrete wavelet transform |
| spellingShingle | Saidatul Habsah Asman Nur Fadilah Ab Aziz Ungku Anisa Ungku Amirulddin Mohd Zainal Abidin Ab Kadir Decision Tree Method for Fault Causes Classification Based on RMS-DWT Analysis in 275 kV Transmission Lines Network Applied Sciences fault causes transmission lines decision tree root mean square discrete wavelet transform |
| 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 |
| topic | fault causes transmission lines decision tree root mean square discrete wavelet transform |
| url | https://www.mdpi.com/2076-3417/11/9/4031 |
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