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Detection and fault diagnosis of power transmission line in infrared image
He SY(何思远); Yang DW(杨大为); Li WT(李文涛); Xia Y(夏泳); Tang YD(唐延东)
作者部门机器人学研究室
会议名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议日期June 8-12, 2015
会议地点Shenyang, China
会议录名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
出版者IEEE
出版地Piscataway, NJ, USA
2015
页码431-435
收录类别EI ; CPCI(ISTP)
EI收录号20161402187671
WOS记录号WOS:000380502300083
产权排序1
ISSN号2379-7711
ISBN号978-1-4799-8730-6
关键词Power Transmission Line Infrared Image Object Detection Fault Diagnosis
摘要With surface aging and natural disasters, power transmission line often has broken strand fault which presents partial discharge and temperature rising. Infrared thermography is a new method to detect the temperature rising fault. Aiming at the temperature rising fault, a method based on infrared image for power transmission line detection and fault diagnosis is proposed. First, we convert infrared image into gray image, enhance the contrast, and eliminate the interference and noise. Next, cellular automaton method is used to segment the target and background in preprocessed image. Then, power transmission line is recognized and detected by using Hessian matrix. Finally, the fault is diagnosed based on temperature, and fault location is also determined. Experimental results indicate that this method can diagnose the temperature rising fault, and its accuracy is more than 90%. It has better robustness, accuracy and validity.
语种英语
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被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/17475
专题机器人学研究室
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, China
2.University of Chinese Academy of Sciences, Beijing, China
3.School of Automation, Shenyang Institute of Engineering, Shenyang, Liaoning, China
4.Benxi Power Supply Company, Liaoning Electric Power Company Limited, Benxi, Liaoning, China
推荐引用方式
GB/T 7714
He SY,Yang DW,Li WT,et al. Detection and fault diagnosis of power transmission line in infrared image[C]. Piscataway, NJ, USA:IEEE,2015:431-435.
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