Erroneous measurement detection in substation automation system using OLS based RBF neural network

International Journal of Electrical Power and Energy Systems

Volumn 31, Issue 7-8, 2009, Pages 351-355

  Sheng, Su ^a,b   Xianzhong, Duan ^a   Chan, W L ^c   Zhihuan, Li ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Erroneous measurement; Orthogonal least square learning algorithm; Radial basis function neural networks; Substation automation systems

Indexed keywords

BROADBAND COMMUNICATION; ERRONEOUS MEASUREMENT; HIGH PRECISION; NETWORK SCALE; ORTHOGONAL LEAST SQUARE LEARNING ALGORITHM; ORTHOGONAL LEAST SQUARES; PATTERN IDENTIFICATION; POWER UTILITY; PROTECTION SYSTEMS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF NEURAL NETWORK; SIMULATION RESULT; SUBSTATION AUTOMATION SYSTEMS;

ATTITUDE CONTROL; AUTOMATION; DELAY CIRCUITS; DIAGNOSTIC RADIOGRAPHY; ELECTRIC FAULT CURRENTS; ELECTRIC IMPEDANCE; ELECTRIC IMPEDANCE TOMOGRAPHY; ELECTRIC SUBSTATIONS; ENTERPRISE RESOURCE PLANNING; LEARNING ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS; SYNTHETIC APERTURE SONAR; TELECOMMUNICATION SYSTEMS;

RADIAL BASIS FUNCTION NETWORKS;

EID: 67650609880     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2009.03.008     Document Type: Article

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