Methodology for the Detection and Classification of Power Quality Disturbances Using CWT and CNN
Methodology for the Detection and Classification of Power Quality Disturbances Using CWT and CNN
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
Energy generation through renewable processes has represented a suitable option for power supply; nevertheless, wind generators and photovoltaic systems can suddenly operate under undesired conditions, leading to power quality problems. In this regard, the development of condition-monitoring strategies applied to the detection of power quality dist...
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Full title
Methodology for the Detection and Classification of Power Quality Disturbances Using CWT and CNN
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TN_cdi_doaj_primary_oai_doaj_org_article_e258a53713ed40ebb2f5801231c30a07
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e258a53713ed40ebb2f5801231c30a07
Other Identifiers
ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en17040852
