Transmission line fault type classification based on novel features and neuro-fuzzy system

Electric Power Components and Systems

Volumn 38, Issue 6, 2010, Pages 695-709

  Thai, Nguyen ^a   Yuan, Liao ^b  

^a EON Kernkraft GmbH   (Germany)

^b UNIVERSITY OF KENTUCKY   (United States)

Author keywords

Adaptive neuro fuzzy inference system; Decision making; Fault type classification; Feature extraction

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; CLASSIFICATION FEATURES; CORRELATION COEFFICIENT; CURRENT SIGNAL; CURRENT WAVEFORMS; DECISION-MAKING SYSTEMS; ELECTROMAGNETIC TRANSIENT PROGRAM; EVALUATION STUDY; FAULT TYPES; FIELD DATA; GROUND FAULTS; NEURO-FUZZY TECHNIQUES; NEUROFUZZY SYSTEM; SIMULATED DATA; THREE PHASE FAULTS; TRANSMISSION LINE FAULTS;

CLASSIFICATION (OF INFORMATION); DECISION MAKING; ELECTRIC GROUNDING; ELECTRIC LINES; FEATURE EXTRACTION; FUZZY INFERENCE; TRANSMISSION LINE THEORY; UNDERGROUND CABLES;

FUZZY SYSTEMS;

EID: 77951995550     PISSN: 15325008     EISSN: 15325016     Source Type: Journal    
DOI: 10.1080/15325000903489702     Document Type: Article

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