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基于红外热像技术的氧化锌避雷器故障检测方法 被引量:1

Fault detection method for zinc oxide lightning arrester based on infrared thermal imaging technology
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摘要 因氧化锌避雷器故障分布随机性强,检测结果可靠性低,为此,提出基于红外热像技术的氧化锌避雷器故障检测方法。采用分辨率为640像素×480像素的FLIR T600红外热像仪捕捉避雷器热感图像,通过故障位置温度特征与二值化处理图像识别故障区域,将温度异常区域的检测输出。测试结果表明,对于测试氧化锌避雷器装置不同区域状态的检测结果与人工检测结果完全一致,并未出现漏检或误检的情况。 Due to the strong randomness of fault distribution and low reliability of detection results in zinc oxide lightning arresters,a fault detection method for zinc oxide lightning arresters based on infrared thermal imaging technology is proposed.The FLIR T600 infrared thermal imager with a resolution of 640×480 pixels is used to capture thermal sensing images of lightning arresters.The fault area is identified through temperature characteristics of the fault location and binary image processing,and the detection output of temperature abnormal areas is obtained.The test results show that the detection results of different areas of the zinc oxide lightning arrester device are completely consistent with the manual detection results,and there are no missed or false detections.
作者 吴顺成 WU Shun-Cheng(State Grid Tianjin Electric Power Company Ninghe Power Supply Branch,Tianjin 301500,China)
出处 《实验室检测》 2024年第11期51-53,共3页 Laboratory Testing
关键词 红外热像技术 氧化锌避雷器 故障检测 温度扩散特征 内接矩形 infrared thermal imaging technology zinc oxide lightning arrester fault detection temperature diffusion characteristics inscribed rectangle
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