摘要
为了改变传统电力设备检测方式,快速预测诊断出潜在故障的电力设备故障点,对采集到的电力设备热红外图像进行预处理和等温线温度场分割等关键技术,确定出热红外图像的缺陷中心位,为后期进行图像匹配,快速预测出电力设备故障点提供了良好的基础。经实践表明,研究方法达到了很好的实际效果,帮助变电站预测出了多处可能发生故障的电力设备,值得实际推广应用。
In order to change the traditional way of testing electric power equipment, rapid prediction of poten- tial fault diagnosis of power equipment fault points, the power equipment of thermal infrared image preprocessing and isotherm temperature field segmentation technology are collected. The thermal infrared image of the defect cen- ter position is determined, think later image matching, fast prediction of the power equipment fault points provided a good foundation. The practice indicates that, the research method has achieved the very good actual effect, help substation projecting out of the many possible malfunction of the power equipment, and actual application.
出处
《科学技术与工程》
北大核心
2013年第2期491-494,共4页
Science Technology and Engineering
基金
陕西省自然科学基础研究计划项目(SJ08A26)资助
关键词
热红外图像
缺陷中心
等温线
infrared thermal imager defect center isotherm
作者简介
王海元（1975-），男，讲师，山西大同市人，研究方向：供应链管理、物流系统仿真、无损检测等。E—mail：suxkwhy@163．com。
