Utilization of artificial neural network for the estimation of size and position of metallic particle adhering to spacer in GIS

IEEE Transactions on Dielectrics and Electrical Insulation

Volumn 20, Issue 6, 2013, Pages 2143-2151

  Budiman, F N ^a   Khan, Y ^a   Malik, N H ^a   Al Arainy, A A ^a   Beroual, A ^a,b  

^a KING SAUD UNIVERSITY   (Saudi Arabia)

^b ECOLE CENTRALE DE LYON   (France)

Author keywords

Artificial neural network (ANN); GIS; Partial discharge; Particle size and position estimation

Indexed keywords

ESTIMATION; GEOGRAPHIC INFORMATION SYSTEMS; METALLIC COMPOUNDS; NEURAL NETWORKS; PARTICLE SIZE; RELIABILITY;

BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK; GAS INSULATED SUBSTATIONS; METALLIC PARTICLES; OPTIMAL NETWORKS; PARTIAL DISCHARGE (PDS); SIZE AND POSITION; SPACER SURFACES; STATISTICAL OPERATORS;

PARTIAL DISCHARGES;

EID: 84898432658     PISSN: 10709878     EISSN: None     Source Type: Journal    
DOI: 10.1109/TDEI.2013.6678863     Document Type: Article

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