Please use this identifier to cite or link to this item:
http://nopr.niscpr.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 |
| ISSN: | 0975-1084 (Online); 0022-4456 (Print) |
| Appears in Collections: | JSIR Vol.79(09) [September 2020] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JSIR 79(9) 819-823.pdf | 750.32 kB | Adobe PDF | View/Open |
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