{"title":"Low Voltage Series Arc Fault Detecting With Discrete Wavelet Transform","authors":"Abdillah Fashiha Ilman, Dzulkiflih","doi":"10.1109/INCAE.2018.8579416","DOIUrl":null,"url":null,"abstract":"Arc faults usually occur due to problems with cable insulators and loose lines. The occurrence of high temperatures and melting of the metal conductor wires creates an arc fault and sparks on the channel. In each year the fire disaster continues to increase. by using conventional protection techniques it is very difficult to detect the occurrence of the arc fault phenomenon because the characteristics of the arc fault are very different from the short circuit which produces a very large fault current. In this study experiments were conducted to detect the occurrence of a series arc fault using discreat wavelet transform (DWT). By comparing the difference in the high-frequency signal normal conditions by the high-frequency signal interference conditions. Other features also compare thresholds, peak detection. Discrete Wavelet Transform algorithm is performed on a microcontroller.","PeriodicalId":387859,"journal":{"name":"2018 International Conference on Applied Engineering (ICAE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Applied Engineering (ICAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INCAE.2018.8579416","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
Arc faults usually occur due to problems with cable insulators and loose lines. The occurrence of high temperatures and melting of the metal conductor wires creates an arc fault and sparks on the channel. In each year the fire disaster continues to increase. by using conventional protection techniques it is very difficult to detect the occurrence of the arc fault phenomenon because the characteristics of the arc fault are very different from the short circuit which produces a very large fault current. In this study experiments were conducted to detect the occurrence of a series arc fault using discreat wavelet transform (DWT). By comparing the difference in the high-frequency signal normal conditions by the high-frequency signal interference conditions. Other features also compare thresholds, peak detection. Discrete Wavelet Transform algorithm is performed on a microcontroller.