Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/55422
Title: A Novel Methodology for Power Quality Disturbances Detection and Classification in Industrial Facilities
Authors: Solis-Munoz, F J
Elvira-Ortiz, D A
Jaen-Cuellar, A Y
Romero-Troncoso, R J
Osornio-Rios, R A
Keywords: Classification;Discrete wavelet transform;Harris hawks optimization;Optimization;Power quality analysis
Issue Date: Sep-2020
Publisher: NISCAIR-CSIR, India
Abstract: The industrial facilities inject noise to the power line. Concerning this issue, researchers are focusing their effort on developing new techniques for analyzing the power quality of the power net. This work presents a novel methodology for power quality disturbances detection and classification based on the Harris hawks optimization algorithm and discrete wavelet transforms decomposition of the signal.
Page(s): 819-823
URI: http://nopr.niscair.res.in/handle/123456789/55422
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.79(09) [September 2020]

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