高压电器2013，Vol.49Issue(3)：115-121,7.
基于RBF网络的高压开关设备状态评估技术在智能GIS上的应用
Application of RBF Network-based State Assessment Technique of High Voltage Switchgear to Intelligent GIS
摘要
Abstract
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.关键词
RBF神经网络/评估模型/故障诊断/高压开关设备Key words
RBF neural network/ assessment model/fault diagnosis/high-voltage switchgear分类
信息技术与安全科学引用本文复制引用
张军民,尹军华,蒋晓旭..基于RBF网络的高压开关设备状态评估技术在智能GIS上的应用[J].高压电器,2013,49(3):115-121,7.
