ICAR Research Data Repository for Knowledge Management
A Novel Methodology for Power Quality Disturbances Detection and Classification in Industrial Facilities
NOPR - NISCAIR Online Periodicals Repository
View Archive Info| Field | Value | |
| Title |
A Novel Methodology for Power Quality Disturbances Detection and Classification in Industrial Facilities
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| Creator |
Solis-Munoz, F J
Elvira-Ortiz, D A Jaen-Cuellar, A Y Romero-Troncoso, R J Osornio-Rios, R A |
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| Subject |
Classification
Discrete wavelet transform Harris hawks optimization Optimization Power quality analysis |
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| Description |
819-823
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. |
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| Date |
2020-10-01T05:28:02Z
2020-10-01T05:28:02Z 2020-09 |
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| Type |
Article
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| Identifier |
0975-1084 (Online); 0022-4456 (Print)
http://nopr.niscair.res.in/handle/123456789/55422 |
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| Language |
en_US
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| Rights |
 CC Attribution-Noncommercial-No Derivative Works 2.5 India
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| Publisher |
NISCAIR-CSIR, India
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| Source |
JSIR Vol.79(09) [September 2020]
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