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作 者:孙日高 鹿昱崧 徐建勇 常正胜 刘博[1] 战祥建 SUN Ri-gao;LU Yu-song;XU Jian-yong;CHANG Zheng-sheng;LIU Bo;ZHAN Xiang-jian(School of Electrical Engineering and Information,Northeast Petroleum University)
机构地区:[1]东北石油大学电气信息工程学院
出 处:《化工自动化及仪表》2021年第1期29-33,78,共6页Control and Instruments in Chemical Industry
摘 要:为了降低输电导线故障检测中的冗余计算量、提高检测效率,研究了输电导线上的两种典型故障——断股故障和异物悬挂故障的图像特征和故障识别算法中的共性,进而提出了基于图像区域分割的输电导线可疑区域定位方法。实验结果表明:该方法漏检率低,能够有效定位可疑区域位置。In order to reduce redundant calculation in the transmission line fault detection and improve detection efficiency,two typical faults like broken strands of the transmission line and suspension of foreign objects found on the transmission line were studied;and the common features in images and fault recognition algorithm were analyzed to propose a method for locating suspected fault areas on transmission lines based on image division.The experimental verification showed that,this method proposed has a low miss detection rate and can effectively locate the suspected fault area.
关 键 词:输电导线 图像区域分割 可疑区域 故障识别与定位 水平校正
分 类 号:TH865[机械工程—精密仪器及机械]
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