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作 者:宋朋 孙成贤 陈柏文 SONG Peng;SUN Chengxian;CHEN Bowen(Shangdong Electric Power Engineering Consulting Institute Corp.,Ltd.,Jinan 250100,China)
机构地区:[1]山东电力工程咨询院有限公司,山东济南250100
出 处:《电工技术》2024年第16期104-107,共4页Electric Engineering
摘 要:特高压输电线路通常跨越地域广,绝缘子数量众多,导致绝缘子闪络故障检测难度大。为了有效解决该问题,提出基于图像识别的特高压输电线路绝缘子闪络故障检测。对特高压输电线路绝缘子图像进行去杂处理,去除与检测无关的噪声和细节,识别与提取特高压输电线路绝缘子轮廓,再结合绝缘子闪络故障检测流程实现绝缘子闪络故障检测。实验结果表明,该方法在特高压输电线路绝缘子闪络故障检测中的召回率高,为实际应用提供了更可靠的故障检测手段。Due to the fact that ultra-high voltage transmission lines often span long distances and have a large number of insulators,it is difficult to detect insulator flashover faults.To effectively solve this problem,an image recognition-based detection method for insulator flashover faults in ultra-high voltage transmission lines is proposed.The image of insulators in ultra-high voltage transmission lines is denoised to remove noise and details unrelated to detection.The contour of insulators in ultra-high voltage transmission lines is recognized and extracted,and the insulator flashover fault detection process is combined to achieve insulator flashover fault detection.The experimental results show that this method has a high recall rate in detecting insulator flashover faults,providing a more reliable and practically applicable fault detection method.
关 键 词:特高压输电线路 绝缘子闪络故障 检测方法 图像去杂 绝缘子轮廓
分 类 号:TM216[一般工业技术—材料科学与工程]
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