Wavelet Transformation Selection for Detection of Ferroresonance Behaviour

I. Made Yulistya Negara, Dimas Anton Asfani, I. Gusti Ngurah Satriyadi Hernanda, Daniar Fahmi, Verdiansyah, Bagas Kuntala Aji

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Ferroresonance is a nonlinear resonance phenomenon that can cause a high increase in current and voltage so that it can cause damage to electrical equipment and can eventually disrupt the electrical system. The main problem in this phenomenon is the complexity of this phenomenon in its detection, prevention, and handling. Wavelet transformation is one of the methods for analyzing ferroresonance detection. The purpose of this study is to be able to find out the suitable wavelet transformation based to detect ferroresonance phenomena. In this study, the detection was carried out by analyzing significant changes in the detailed coefficient value of wavelet (DWT) ferroresonance signal using the MATLAB software. The choice of based wavelet is done by two methods. The first method is to analyze the speed of detection and the ratio of the detail coefficient value detected to the threshold value. The second method is to compare the ratio of cumulative energy calculations to normal conditions and ferroresonance conditions. The based wavelet used 54 based wavelet available on the MATLAB software DWT. Based on studies conducted in the first method, the coif5 mother wavelet shows superior detection performance compared to other mother wavelets by detecting faster consistently in each ferroresonance mode. In the second method, the rbio3.3 mother wavelet consistently produces a cumulative energy ratio greater than the other mother wavelets.

Original languageEnglish
Title of host publicationProceedings - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages253-258
Number of pages6
ISBN (Electronic)9781728137490
DOIs
Publication statusPublished - Aug 2019
Event2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019 - Surabaya, Indonesia
Duration: 28 Aug 201929 Aug 2019

Publication series

NameProceedings - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019

Conference

Conference2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019
Country/TerritoryIndonesia
CitySurabaya
Period28/08/1929/08/19

Keywords

  • Ferroresonance
  • Mother Wavelet
  • Wavelet Discrete Transformation

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