Hybrid Technique for the Analysis of Non-Linear and Non-Stationary Signals focused on Power Quality

dc.creatorSanabria-Villamizar, Mauricio
dc.creatorBueno-López, Maximiliano
dc.creatorMolinas, Marta
dc.creatorBernal, Efrain
dc.date2019-12-01T08:00:00Z
dc.date.accessioned2022-10-13T13:37:28Z
dc.date.available2022-10-13T13:37:28Z
dc.identifierhttps://ciencia.lasalle.edu.co/scopus_unisalle/118
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4157976
dc.descriptionThis paper aims to develop a combination method for the evaluation of power quality disturbances. First, we apply the Fast Fourier Transform, Wavelet Transform and Hilbert Huang Transform on a synthetic signal that represents typical behavior in a power system with high penetration of Renewable Energies. Then, we combine the methods to extract the best of each of these and achieve a better signal decomposition. The paper seeks to generate decision criteria on the method of analysis of signals to be used according to the application.
dc.source2019 FISE-IEEE/CIGRE Conference - Living the Energy Transition, FISE/CIGRE 2019
dc.subjectFourier Fast Transform
dc.subjectHilbert Spectrum
dc.subjectHilbert-Huang Transform
dc.subjectInstantaneous frequency
dc.subjectPower Quality
dc.subjectWavelet Transform
dc.titleHybrid Technique for the Analysis of Non-Linear and Non-Stationary Signals focused on Power Quality
dc.typeConference Proceeding


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