Envelope analysis and defects identification of partial discharge UHF signals in GIS

Gaodianya Jishu/High Voltage Engineering

Volumn 35, Issue 2, 2009, Pages 260-265

  Li, Li Xue ^a   Teng, Le Tian ^b   Huang, Cheng Jun ^a   Zeng, Yi ^a   Jiang, Xiu Chen ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b SHANGHAI MUNICIPAL ELECTRIC POWER COMPANY   (China)

Author keywords

BP neural network; Defect; Envelop detection; GIS; Partial discharge; Pattern recognition; Ultra high frequency

Indexed keywords

DEFECTS; DIRECTIONAL PATTERNS (ANTENNA); GEOGRAPHIC INFORMATION SYSTEMS; METHOD OF MOMENTS; NEURAL NETWORKS; PARTIAL DISCHARGES; PATTERN RECOGNITION;

BP NEURAL NETWORK; CHARACTERISTIC PARAMETERS; DEFECT MODELS; DETECTION CIRCUITS; ENVELOP DETECTION; ENVELOPE ANALYSIS; ENVELOPE DETECTIONS; GIS; HIGH-SPEED DATA ACQUISITIONS; PARTIAL DISCHARGE SIGNALS; TESTING DATUM; TIME DOMAINS; UHF SIGNALS; ULTRA-HIGH FREQUENCY;

TIME DOMAIN ANALYSIS;

EID: 63549086920     PISSN: 10036520     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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