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Research on Fault Detection System of Power Equipment Based on UV and Infrared Image

机译:基于UV和红外图像的电力设备故障检测系统研究

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UV corona on power system can reflect the location of the fault and the severity of the fault, the traditional UV and infrared detection equipment can only use the band and the visible light band image of the power system fault detection. In this paper, a power system fault detection system based on ultraviolet and infrared dual-band images is designed. The principle of UV imaging detection and image fusion are introduced respectively. The software of the host computer is written by MFC. The software can acquire both ultraviolet and infrared, the two images are fused using the image fusion algorithm based on edge detection and cross correlation and the highest point temperature is plotted. Experiments show that the system can detect the failure of power equipment in time, and has a certain practical value, which puts forward a new idea for fault detection of power equipment.
机译:UV电晕电源系统可以反映故障的位置和故障的严重程度,传统的紫外线和红外检测设备只能使用带和可见光带图像的电力系统故障检测。本文设计了一种基于紫外线和红外双频带图像的电力系统故障检测系统。介绍了UV成像检测和图像融合的原理。主计算机的软件由MFC编写。该软件可以获取紫外线和红外线,使用基于边缘检测的图像融合算法和交叉相关性和绘制最高点温度的两个图像融合。实验表明,该系统可以及时检测电力设备的故障,具有一定的实用价值,这提出了电力设备的故障检测的新思路。

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