| 2017 2nd International Seminar on Advances in Materials Science and Engineering | |
| Research on Fault Detection System of Power Equipment Based on UV and Infrared Image | |
| Lu, Qiyu^1 ; Ding, Kun^2 | |
| State Grid Shanghai Electric Power Research Institute, Shanghai | |
| 200437, China^1 | |
| Shanghai Institute of Technical Physics, CAS, Shanghai | |
| 200083, China^2 | |
| 关键词: Cross correlations; Fault detection systems; Image fusion algorithms; Infrared detection; Infrared dual bands; Point temperature; Power system fault; Visible light bands; | |
| Others : https://iopscience.iop.org/article/10.1088/1757-899X/231/1/012062/pdf DOI : 10.1088/1757-899X/231/1/012062 |
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| 来源: IOP | |
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【 摘 要 】
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.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| Research on Fault Detection System of Power Equipment Based on UV and Infrared Image | 572KB |
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