ZHANG Jun-min, YIN Jun-hua, JIANG Xiao-xu. Application of RBF Network-based State Assessment Technique of High Voltage Switchgear to Intelligent GIS[J]. High voltageapparatus, 2013, 49(3): 115-121.
ZHANG Jun-min, YIN Jun-hua, JIANG Xiao-xu. Application of RBF Network-based State Assessment Technique of High Voltage Switchgear to Intelligent GIS[J]. High voltageapparatus, 2013, 49(3): 115-121. DOI: 10.13296/j.1001-1609.hva.2013.03.020.
Application of RBF Network-based State Assessment Technique of High Voltage Switchgear to Intelligent GIS
High voltage switchgear is one of the most important control and protection equipments for reliable and stable operation of high-voltage power transmission system.In this study
a RBF(radial basis function)-based reliability assessment model of high-voltage switchgear was proposed according to common faults of high voltage switchgear.A self-developed intelligent prototype of 126 kV intelligent GIS was employed to verify the proposed model.Experimental results show that
compared with BP neural network
RBF neural network has better abilities of learning and classification
faster training speed
and lower error rate.The proposed RBF-based reliability assessment model is expected to be widely used in state assessment of high-voltage switchgear.