High noise tolerance feature extraction for partial discharge classification in XLPE cable joints

IEEE Transactions on Dielectrics and Electrical Insulation

Volumn 24, Issue 1, 2017, Pages 66-74

  Raymond, Wong Jee Keen ^a   Illias, Hazlee Azil ^a   Bakar, Ab Halim Abu ^a  

^a UNIVERSITY OF MALAYA   (Malaysia)

Author keywords

artificial neural network; dielectric material; Electrical insulation; partial discharge; pattern recognition; support vector machine

Indexed keywords

CABLE JOINTING; CABLES; DEEP NEURAL NETWORKS; DEFECTS; DIELECTRIC MATERIALS; DISCHARGE (FLUID MECHANICS); ELECTRIC INSULATION; EXTRACTION; FEATURE EXTRACTION; INSULATION; NEURAL NETWORKS; PARTIAL DISCHARGES; PATTERN RECOGNITION; POLYETHYLENES; PRINCIPAL COMPONENT ANALYSIS; QUALITY CONTROL; SUPPORT VECTOR MACHINES;

CROSS-LINKED POLYETHYLENE CABLES; INSULATION FAILURES; INSULATION QUALITY; NOISE-FREE ENVIRONMENTS; PARTIAL DISCHARGE ANALYSIS; PARTIAL DISCHARGE CLASSIFICATION; PARTIAL DISCHARGE MEASUREMENTS; PERFORMANCE DEGRADATION;

CLASSIFICATION (OF INFORMATION);

EID: 85015776079     PISSN: 10709878     EISSN: None     Source Type: Journal    
DOI: 10.1109/TDEI.2016.005864     Document Type: Article

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