Feature extraction and recognition of UHF partial discharge signals in GIS based on dual-tree complex wavelet transform

European Transactions on Electrical Power

Volumn 20, Issue 5, 2010, Pages 639-649

  Xie, Yanbin ^a   Tang, Ju ^a   Zhou, Qian ^b  

^a CHONGQING UNIVERSITY   (China)

^b STATE GRID CHONGQING ELECTRIC POWER COMPANY   (China)

Author keywords

Dual tree complex wavelet transform; Feature extraction; Partial discharge (PD); Ultra high frequency (UHF)

Indexed keywords

DIFFERENT SCALE; DUAL-TREE; DUAL-TREE COMPLEX WAVELET TRANSFORM; DWT COEFFICIENTS; FEATURE EXTRACTION AND RECOGNITION; FEATURE SPACE; FREQUENCY DOMAINS; GAS INSULATED SWITCHGEARS; INPUT SIGNAL; INSULATION DEFECTS; MAIN TASKS; MODULUS MAXIMA; NEURAL NETWORK CLASSIFIER; NONSTATIONARY; PARTIAL DISCHARGE DETECTION; PARTIAL DISCHARGE SIGNAL; RADIAL BASE FUNCTION; SHIFT INVARIANCE; TIME DOMAIN; TIME FREQUENCY DOMAIN; TIME-RESOLVED DATA; ULTRA-HIGH; WEAK POINTS;

DEFECTS; DISCRETE WAVELET TRANSFORMS; FREQUENCY BANDS; FREQUENCY DOMAIN ANALYSIS; GEOGRAPHIC INFORMATION SYSTEMS; NEURAL NETWORKS; PARTIAL DISCHARGES; TIME DOMAIN ANALYSIS;

FEATURE EXTRACTION;

EID: 77954871281     PISSN: 1430144X     EISSN: 15463109     Source Type: Journal    
DOI: 10.1002/etep.345     Document Type: Article

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