Classification of power quality events using SVM networks
作者： P Janik , T Lobos , P Schegner
DOI: 10.1049/CP:20040235
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摘要: This paper presents a new approach to classification power disturbances. Firstly, the growing importance of automated quality assessment is shown. The so called support vector machines (SVM) networks are regarded as an effective tool for loosing problems and their architecture described in detail. A 15 kV radial distribution network was investigated, which one branch suffered voltage collapses due short circuits. SVM implied classify different dips on other branches originated short-circuited branch. influence line length, type duration circuit rate investigated.
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