Isolation Fault Forecasting Model for Intelligent High Voltage Circuit Breaker

摘要：

A novel risk forecasting model of high voltage circuit breaker insulation based on double artificial neural networks is proposed in the paper by analysis of the relationship between ESDD, flashover voltage and environmental factors. The data used to build the forecasting model is obtained from artificial pollution test. The proposed insulation fault risk forecasting model calculates the insulation fault probability under given environmental factors. Results of artificial pollution text indicate that the forecasting of this method is satisfied to practical application and useful to theoretical research.

作者: Yun Teng Jianyuan Xu Xin Lin

作者单位: Liaoning Provincial Key Lab of Power System Safe Operation and Monitoring Shenyang University of Technology, Shenliao Xi Road 111, Shenyang, 110870, China

会议类型: 国际会议

会议名称: 2011 1st International Conference on Electric Power Equipment-Switching Technology(第一届电力设备开断技术国际会议 ICEPE)

会议地点: 西安

会议语种:英文

页码: 199-202

在线出版日期: 2011-10-23（万方平台首次上网日期，不代表论文的发表时间）