FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2906973030> ?p ?o ?g. }

• W2906973030 endingPage "171" @default.
• W2906973030 startingPage "163" @default.
• W2906973030 abstract "Here, a data mining–driven scheme based on discrete wavelet transform (DWT) is proposed for high impedance fault (HIF) detection in active distribution networks. Correlation between the phase current signal and the related details of the current wavelet transform is presented as a new index for HIF detection. The proposed HIF detection method is implemented in two subsequent stages. In the first stage, the most important features for HIF detection are extracted using support vector machine (SVM) and decision tree (DT). The parameters of SVM are optimised using the genetic algorithm (GA) over the input scenarios. In second stage, SVM is utilised to classify the input data. The efficiency of the utilised SVM-based classifier is compared with a probabilistic neural network (PNN). A comprehensive list of scenarios including load switching, inrush current, solid short-circuit faults, HIF faults in the presence of harmonic loads is generated. The performance of the proposed algorithm is investigated for two active distribution networks including IEEE 13-Bus and IEEE 34-Bus systems." @default.
• W2906973030 created "2019-01-11" @default.
• W2906973030 creator A5040932888 @default.
• W2906973030 creator A5057253748 @default.
• W2906973030 creator A5061741477 @default.
• W2906973030 date "2019-02-15" @default.
• W2906973030 modified "2023-09-27" @default.
• W2906973030 title "Fault detection in distribution networks in presence of distributed generations using a data mining–driven wavelet transform" @default.
• W2906973030 cites W1829376396 @default.
• W2906973030 cites W1967824272 @default.
• W2906973030 cites W1973952973 @default.
• W2906973030 cites W2000300957 @default.
• W2906973030 cites W2001658376 @default.
• W2906973030 cites W2020355555 @default.
• W2906973030 cites W2040584032 @default.
• W2906973030 cites W2049917889 @default.
• W2906973030 cites W2050340551 @default.
• W2906973030 cites W2074504329 @default.
• W2906973030 cites W2089927030 @default.
• W2906973030 cites W2111015730 @default.
• W2906973030 cites W2129270900 @default.
• W2906973030 cites W2132628374 @default.
• W2906973030 cites W2134500726 @default.
• W2906973030 cites W2139212933 @default.
• W2906973030 cites W2141539191 @default.
• W2906973030 cites W2149677507 @default.
• W2906973030 cites W2150946322 @default.
• W2906973030 cites W2152298089 @default.
• W2906973030 cites W2153199558 @default.
• W2906973030 cites W2158551853 @default.
• W2906973030 cites W2162413371 @default.
• W2906973030 cites W2170020415 @default.
• W2906973030 cites W2320936718 @default.
• W2906973030 cites W2543222351 @default.
• W2906973030 cites W2740570923 @default.
• W2906973030 cites W2897890915 @default.
• W2906973030 cites W4253447461 @default.
• W2906973030 doi "https://doi.org/10.1049/iet-stg.2018.0158" @default.
• W2906973030 hasPublicationYear "2019" @default.
• W2906973030 type Work @default.
• W2906973030 sameAs 2906973030 @default.
• W2906973030 citedByCount "20" @default.
• W2906973030 countsByYear W29069730302019 @default.
• W2906973030 countsByYear W29069730302020 @default.
• W2906973030 countsByYear W29069730302021 @default.
• W2906973030 countsByYear W29069730302022 @default.
• W2906973030 countsByYear W29069730302023 @default.
• W2906973030 crossrefType "journal-article" @default.
• W2906973030 hasAuthorship W2906973030A5040932888 @default.
• W2906973030 hasAuthorship W2906973030A5057253748 @default.
• W2906973030 hasAuthorship W2906973030A5061741477 @default.
• W2906973030 hasBestOaLocation W29069730301 @default.
• W2906973030 hasConcept C119599485 @default.
• W2906973030 hasConcept C12267149 @default.
• W2906973030 hasConcept C124101348 @default.
• W2906973030 hasConcept C127413603 @default.
• W2906973030 hasConcept C153180895 @default.
• W2906973030 hasConcept C154945302 @default.
• W2906973030 hasConcept C165801399 @default.
• W2906973030 hasConcept C196216189 @default.
• W2906973030 hasConcept C23340480 @default.
• W2906973030 hasConcept C41008148 @default.
• W2906973030 hasConcept C46286280 @default.
• W2906973030 hasConcept C47432892 @default.
• W2906973030 hasConcept C50644808 @default.
• W2906973030 hasConcept C66322947 @default.
• W2906973030 hasConceptScore W2906973030C119599485 @default.
• W2906973030 hasConceptScore W2906973030C12267149 @default.
• W2906973030 hasConceptScore W2906973030C124101348 @default.
• W2906973030 hasConceptScore W2906973030C127413603 @default.
• W2906973030 hasConceptScore W2906973030C153180895 @default.
• W2906973030 hasConceptScore W2906973030C154945302 @default.
• W2906973030 hasConceptScore W2906973030C165801399 @default.
• W2906973030 hasConceptScore W2906973030C196216189 @default.
• W2906973030 hasConceptScore W2906973030C23340480 @default.
• W2906973030 hasConceptScore W2906973030C41008148 @default.
• W2906973030 hasConceptScore W2906973030C46286280 @default.
• W2906973030 hasConceptScore W2906973030C47432892 @default.
• W2906973030 hasConceptScore W2906973030C50644808 @default.
• W2906973030 hasConceptScore W2906973030C66322947 @default.
• W2906973030 hasIssue "2" @default.
• W2906973030 hasLocation W29069730301 @default.
• W2906973030 hasLocation W29069730302 @default.
• W2906973030 hasOpenAccess W2906973030 @default.
• W2906973030 hasPrimaryLocation W29069730301 @default.
• W2906973030 hasRelatedWork W1577789985 @default.
• W2906973030 hasRelatedWork W2075269048 @default.
• W2906973030 hasRelatedWork W2075963752 @default.
• W2906973030 hasRelatedWork W2103507103 @default.
• W2906973030 hasRelatedWork W2158240667 @default.
• W2906973030 hasRelatedWork W2163073107 @default.
• W2906973030 hasRelatedWork W2371096191 @default.
• W2906973030 hasRelatedWork W2775499598 @default.
• W2906973030 hasRelatedWork W2890138326 @default.
• W2906973030 hasRelatedWork W4223656335 @default.
• W2906973030 hasVolume "2" @default.
• W2906973030 isParatext "false" @default.
• W2906973030 isRetracted "false" @default.

• next