FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2898861796> ?p ?o ?g. }

• W2898861796 endingPage "3330" @default.
• W2898861796 startingPage "3330" @default.
• W2898861796 abstract "This paper presents a method to detect and classify the high impedance fault that occur in the medium voltage (MV) distribution network using discrete wavelet transform (DWT) and adaptive neuro-fuzzy inference system (ANFIS). The network is designed using MATLAB software R2014b and various faults such as high impedance, symmetrical and unsymmetrical fault have been applied to study the effectiveness of the proposed ANFIS classifier method. This is achieved by training the ANFIS classifier using the features (standard deviation values) extracted from the three-phase fault current signal by DWT technique for various cases of fault with different values of fault resistance in the system. The success and discrimination rate obtained for identifying and classifying the high impedance fault from the proffered method is 100% whereas the values are 66.7% and 85% respectively for conventional fuzzy based approach. The results indicate that the proposed method is more efficient to identify and discriminate the high impedance fault from other faults in the power system." @default.
• W2898861796 created "2018-11-09" @default.
• W2898861796 creator A5008136110 @default.
• W2898861796 creator A5063627288 @default.
• W2898861796 creator A5068724309 @default.
• W2898861796 creator A5074359388 @default.
• W2898861796 creator A5077183121 @default.
• W2898861796 creator A5083905174 @default.
• W2898861796 date "2018-11-29" @default.
• W2898861796 modified "2023-10-14" @default.
• W2898861796 title "High Impedance Fault Detection in Medium Voltage Distribution Network Using Discrete Wavelet Transform and Adaptive Neuro-Fuzzy Inference System" @default.
• W2898861796 cites W1871376293 @default.
• W2898861796 cites W1885539543 @default.
• W2898861796 cites W1997180915 @default.
• W2898861796 cites W2052447213 @default.
• W2898861796 cites W2053832824 @default.
• W2898861796 cites W2073633517 @default.
• W2898861796 cites W2085477541 @default.
• W2898861796 cites W2089217930 @default.
• W2898861796 cites W2107287874 @default.
• W2898861796 cites W2120358671 @default.
• W2898861796 cites W2124332756 @default.
• W2898861796 cites W2134500726 @default.
• W2898861796 cites W2153309679 @default.
• W2898861796 cites W2170020415 @default.
• W2898861796 cites W2180842350 @default.
• W2898861796 cites W2315251746 @default.
• W2898861796 cites W2345071320 @default.
• W2898861796 cites W2471159162 @default.
• W2898861796 cites W2562970550 @default.
• W2898861796 cites W2567241916 @default.
• W2898861796 cites W2765414610 @default.
• W2898861796 cites W2783481833 @default.
• W2898861796 cites W2794261593 @default.
• W2898861796 cites W2802488331 @default.
• W2898861796 cites W2888476745 @default.
• W2898861796 cites W2891111085 @default.
• W2898861796 cites W2897163027 @default.
• W2898861796 cites W4233825779 @default.
• W2898861796 cites W4244851117 @default.
• W2898861796 doi "https://doi.org/10.3390/en11123330" @default.
• W2898861796 hasPublicationYear "2018" @default.
• W2898861796 type Work @default.
• W2898861796 sameAs 2898861796 @default.
• W2898861796 citedByCount "20" @default.
• W2898861796 countsByYear W28988617962019 @default.
• W2898861796 countsByYear W28988617962020 @default.
• W2898861796 countsByYear W28988617962021 @default.
• W2898861796 countsByYear W28988617962022 @default.
• W2898861796 countsByYear W28988617962023 @default.
• W2898861796 crossrefType "journal-article" @default.
• W2898861796 hasAuthorship W2898861796A5008136110 @default.
• W2898861796 hasAuthorship W2898861796A5063627288 @default.
• W2898861796 hasAuthorship W2898861796A5068724309 @default.
• W2898861796 hasAuthorship W2898861796A5074359388 @default.
• W2898861796 hasAuthorship W2898861796A5077183121 @default.
• W2898861796 hasAuthorship W2898861796A5083905174 @default.
• W2898861796 hasBestOaLocation W28988617961 @default.
• W2898861796 hasConcept C111919701 @default.
• W2898861796 hasConcept C119599485 @default.
• W2898861796 hasConcept C127313418 @default.
• W2898861796 hasConcept C127413603 @default.
• W2898861796 hasConcept C153180895 @default.
• W2898861796 hasConcept C154945302 @default.
• W2898861796 hasConcept C165205528 @default.
• W2898861796 hasConcept C175551986 @default.
• W2898861796 hasConcept C17829176 @default.
• W2898861796 hasConcept C186108316 @default.
• W2898861796 hasConcept C195975749 @default.
• W2898861796 hasConcept C196216189 @default.
• W2898861796 hasConcept C24326235 @default.
• W2898861796 hasConcept C2775924081 @default.
• W2898861796 hasConcept C2780365114 @default.
• W2898861796 hasConcept C41008148 @default.
• W2898861796 hasConcept C46286280 @default.
• W2898861796 hasConcept C47432892 @default.
• W2898861796 hasConcept C47446073 @default.
• W2898861796 hasConcept C58166 @default.
• W2898861796 hasConceptScore W2898861796C111919701 @default.
• W2898861796 hasConceptScore W2898861796C119599485 @default.
• W2898861796 hasConceptScore W2898861796C127313418 @default.
• W2898861796 hasConceptScore W2898861796C127413603 @default.
• W2898861796 hasConceptScore W2898861796C153180895 @default.
• W2898861796 hasConceptScore W2898861796C154945302 @default.
• W2898861796 hasConceptScore W2898861796C165205528 @default.
• W2898861796 hasConceptScore W2898861796C175551986 @default.
• W2898861796 hasConceptScore W2898861796C17829176 @default.
• W2898861796 hasConceptScore W2898861796C186108316 @default.
• W2898861796 hasConceptScore W2898861796C195975749 @default.
• W2898861796 hasConceptScore W2898861796C196216189 @default.
• W2898861796 hasConceptScore W2898861796C24326235 @default.
• W2898861796 hasConceptScore W2898861796C2775924081 @default.
• W2898861796 hasConceptScore W2898861796C2780365114 @default.
• W2898861796 hasConceptScore W2898861796C41008148 @default.
• W2898861796 hasConceptScore W2898861796C46286280 @default.
• W2898861796 hasConceptScore W2898861796C47432892 @default.
• W2898861796 hasConceptScore W2898861796C47446073 @default.
• W2898861796 hasConceptScore W2898861796C58166 @default.

• next