Contamination level prediction of insulators based on the characteristics of leakage current

IEEE Transactions on Power Delivery

Volumn 25, Issue 1, 2010, Pages 417-424

  Li, Jingyan ^a   Sun, Caixin ^a   Sima, Wenxia ^a   Yang, Qing ^a   Hu, Jianlin ^a  

^a CHONGQING UNIVERSITY   (China)

Author keywords

Contamination flashover; Contamination prediction; Insulator; Leakage current; Neural network model; Prediction characteristics

Indexed keywords

CONTAMINATION FLASHOVER; CONTAMINATION LEVELS; EQUIVALENT SALT DEPOSIT DENSITY; FOG CHAMBER; INPUT PARAMETER; INSULATOR STRING; INSULATOR SURFACES; MAXIMUM VALUES; MEAN VALUES; NEURAL NETWORK MODEL; OPERATING VOLTAGE; OPERATION CONDITIONS; POLLUTION LEVEL; POWER LINES; REGRESSION EQUATION; RELATIVE HUMIDITIES; RESEARCH RESULTS; ROOT MEAN SQUARES; STANDARD DEVIATION; TESTING DATA; TRAINING DATA; WARNING SYSTEMS; WARNING TIME;

ATMOSPHERIC HUMIDITY; CONTAMINATION; ELECTRIC INSULATORS; FLAMMABILITY TESTING; FLASHOVER; NEURAL NETWORKS; SALT DEPOSITS;

LEAKAGE CURRENTS;

EID: 73849093990     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRD.2009.2035426     Document Type: Article

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