红外技术Issue(2)：162-167,6.
基于图像增强技术的电气设备热故障自动诊断与定位
Automatic Diagnosis and Positioning of Electrical Equipment Thermal Faults Based on Image Enhancement Technology
崔克彬 1李宝树 2徐雪涛 2魏文力2
作者信息
- 1. 华北电力大学，控制与计算机工程学院，河北 保定 071003
- 2. 华北电力大学，电气与电子工程学院，河北 保定 071003
- 折叠
摘要
Abstract
With the advancement of the smart grid construction in China, it becomes particularly important for the smart electrical equipment to automatically identify the fault. Many electrical equipment failures are associated with overheating and have regional characteristics. As a result, there is a nonlinear mapping relationship between infrared image temperature and grey value. Being aimed at poor contrast and unconspicuous details of electrical equipment infrared image, an image enhancement algorithm based on NSCT(nonsubsampled contourlet transform)is proposed and nonlinear enhancement matching function is constructed. By this algorithm, the edge of the image is enhanced in varying degrees and the noise of the image is controlled to a certain extent. After topology matrix being modified, higher image gray value area is identified and electrical equipment’s high temperature area is located automatically. With the relative temperature difference algorithm, electrical equipment failure is diagnosed. Experiment results show that the method can locate and identify electrical equipment suspected overheating fault quickly and effectively.关键词
过热故障/NSCT/拓扑矩阵/图像增强/诊断与定位Key words
overheating fault/NSCT/topology matrix/image enhancement/diagnosis and localization分类
信息技术与安全科学引用本文复制引用
崔克彬,李宝树,徐雪涛,魏文力..基于图像增强技术的电气设备热故障自动诊断与定位[J].红外技术,2014,(2):162-167,6.
