Transformer Bushing Temperature Measurement Model Based on Infrared Temperature Measurement

摘要：

　　This paper proposes a new method of temperature measurement and predict model for transformer bushing based on support vector regression(SVR)algorithm.In this model,infrared image is used to measure the temperature of bushing porcelain.Aiming at the phenomenon that the temperature of infrared thermal image is easily disturbed by environment,a SVR filtering method is proposed to correlate the load current with the temperature of infrared thermal image,which maintained the correlation between bushing porcelain temperature and load current,reduced infrared temperature measurement noise.Compared with RBF neural network,BP neural network and SVR method,the training and prediction results of 110kV transformer bushing in a sample city show that the model has better prediction ability.

关键词： Transformer bushing early warning infrared temperature measurement support vector regression (SVR)

作者: Chen Gu Yu Yin Qinyu Pan Min Xu Wangwang Shi Guifeng Wu Donglei Chen

作者单位: State Grid Yangzhou Power Supply Company,Yangzhou 225000 China Hydraulic and Energy Engineering College of Yangzhou University,Yangzhou 225127,China

会议类型: 国际会议

会议名称: 2019年第二届智能系统研究与机电工程国际会议(ISRME 2019) 2019 2nd International Conference on Intelligent Systems Research and Mechatronics Engineering

会议地点: 太原

会议语种:英文

页码: 11-17

在线出版日期: 2019-06-29（万方平台首次上网日期，不代表论文的发表时间）