A De-noising scheme for wavelet based power quality disturbances detection and classification system

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Main Authors: Perumal A/L Nallagownden, Kondapalli Siva Rama Rao
Format: Citation Index Journal
Published: 2012
Online Access:http://eprints.utp.edu.my/9149/
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Institution: Universiti Teknologi Petronas
id my.utp.eprints.9149
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spelling my.utp.eprints.91492013-04-07T03:23:05Z A De-noising scheme for wavelet based power quality disturbances detection and classification system Perumal A/L Nallagownden, Kondapalli Siva Rama Rao, 2012 Citation Index Journal NonPeerReviewed Perumal A/L Nallagownden, and Kondapalli Siva Rama Rao, (2012) A De-noising scheme for wavelet based power quality disturbances detection and classification system. [Citation Index Journal] http://eprints.utp.edu.my/9149/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Citation Index Journal
author Perumal A/L Nallagownden,
Kondapalli Siva Rama Rao,
spellingShingle Perumal A/L Nallagownden,
Kondapalli Siva Rama Rao,
A De-noising scheme for wavelet based power quality disturbances detection and classification system
author_facet Perumal A/L Nallagownden,
Kondapalli Siva Rama Rao,
author_sort Perumal A/L Nallagownden,
title A De-noising scheme for wavelet based power quality disturbances detection and classification system
title_short A De-noising scheme for wavelet based power quality disturbances detection and classification system
title_full A De-noising scheme for wavelet based power quality disturbances detection and classification system
title_fullStr A De-noising scheme for wavelet based power quality disturbances detection and classification system
title_full_unstemmed A De-noising scheme for wavelet based power quality disturbances detection and classification system
title_sort de-noising scheme for wavelet based power quality disturbances detection and classification system
publishDate 2012
url http://eprints.utp.edu.my/9149/
_version_ 1738655711712247808