F. Arrabal-Campos, F. G. Montoya, R. Baños, J. Martínez-Lao, A. Alcayde
{"title":"Simulation of power quality disturbances through the wavelet transform","authors":"F. Arrabal-Campos, F. G. Montoya, R. Baños, J. Martínez-Lao, A. Alcayde","doi":"10.1109/ICHQP.2018.8378874","DOIUrl":null,"url":null,"abstract":"Most of the related PQ disturbances studies are addressed exclusively through standing advanced mathematical concepts without possibility to test these techniques over synthetic signals. This paper presents a new application implemented in MATLAB that has been developed to set up different synthetic signals, PQ disturbances and white noise. Afterwards, FT, STFT, CWT, DWT and denoised signals are calculated. Moreover, the application can connect to any device via RESTful web service and query for data stored in smart sensors. The novelty of this application lies in the fact that it allows to monitor FT, STFT, CWT, DWT and the denoised signals continuously.","PeriodicalId":6506,"journal":{"name":"2018 18th International Conference on Harmonics and Quality of Power (ICHQP)","volume":"13 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 18th International Conference on Harmonics and Quality of Power (ICHQP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICHQP.2018.8378874","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
Most of the related PQ disturbances studies are addressed exclusively through standing advanced mathematical concepts without possibility to test these techniques over synthetic signals. This paper presents a new application implemented in MATLAB that has been developed to set up different synthetic signals, PQ disturbances and white noise. Afterwards, FT, STFT, CWT, DWT and denoised signals are calculated. Moreover, the application can connect to any device via RESTful web service and query for data stored in smart sensors. The novelty of this application lies in the fact that it allows to monitor FT, STFT, CWT, DWT and the denoised signals continuously.
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