{"title":"Estimation of power quality indices using discrete wavelet transform","authors":"R. Sugi, D. Sundararajan","doi":"10.1109/ICACCS.2016.7586363","DOIUrl":null,"url":null,"abstract":"An estimation and analysis of power quality disturbances are essential for the maintenance of power quality of power systems. Since the power quality disturbances are mostly noisy and nonstationary, wavelet transform methods have gained significant importance in analyzing them recently. In a recent paper, the estimation of power quality indices using an empirical wavelet transform has been proposed. In this paper, further investigation of this approach is carried out and a comparison of the use of the empirical and discrete wavelet transform is presented.","PeriodicalId":176803,"journal":{"name":"2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACCS.2016.7586363","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
An estimation and analysis of power quality disturbances are essential for the maintenance of power quality of power systems. Since the power quality disturbances are mostly noisy and nonstationary, wavelet transform methods have gained significant importance in analyzing them recently. In a recent paper, the estimation of power quality indices using an empirical wavelet transform has been proposed. In this paper, further investigation of this approach is carried out and a comparison of the use of the empirical and discrete wavelet transform is presented.