Electric power transformer fault diagnosis using OLS based radial basis function neural network

Proceedings of the IEEE International Conference on Industrial Technology

Volumn , Issue , 2008, Pages

  Jiajia, Zhang ^a   Hongbin, Pan ^a   Huixian, Huang ^a   Shasha, Liu ^a  

^a XIANGTAN UNIVERSITY   (China)

Author keywords

Dissolved gas analysis; Electric power transformer; Fault diagnosis; Orthogonal least squares; Radial basis function RBF neural network

Indexed keywords

ATTITUDE CONTROL; BOOLEAN FUNCTIONS; CURVE FITTING; DISSOLUTION; DISTRIBUTED POWER GENERATION; ELECTRIC FAULT CURRENTS; ELECTRIC INSTRUMENT TRANSFORMERS; ELECTRIC NETWORK ANALYSIS; ELECTRIC POWER MEASUREMENT; ELECTRIC TRANSFORMERS; ELECTRICITY; FEEDFORWARD NEURAL NETWORKS; GASES; GEODESY; IMAGE CLASSIFICATION; IMAGE SEGMENTATION; INSULATING OIL; LEARNING ALGORITHMS; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; NETWORK PROTOCOLS; NEURAL NETWORKS; OIL FILLED TRANSFORMERS; PROBABILITY DENSITY FUNCTION; RADIAL BASIS FUNCTION NETWORKS; SENSOR NETWORKS; TRANSFORMER SUBSTATIONS; TWO PHASE FLOW;

DISSOLVED GAS ANALYSIS; ELECTRIC POWER TRANSFORMER; FAULT DIAGNOSIS; ORTHOGONAL LEAST SQUARES; RADIAL BASIS FUNCTION RBF NEURAL NETWORK;

POWER TRANSFORMERS;

EID: 54549115145     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIT.2008.4608337     Document Type: Conference Paper

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