Detection and Fault Diagnosis of Power Transmission Line in Infrared Image

被引：0
|
作者：
He, Siyuan [1 ,2 ,3 ]
Yang, Dawei [1 ,2 ]
Li, Wentao [1 ]
Xia, Yong [4 ]
Tang, Yandong [1 ]
机构：
[1] Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang 110016, Liaoning, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Shenyang Inst Engn, Sch Automat, Shenyang 110136, Liaoning, Peoples R China
[4] Liaoning Elect Power Co Ltd, Benxi Power Supply Co, Benxi 117000, Liaoning, Peoples R China
来源：
2015 IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER) | 2015年
关键词：
power transmission line; infrared image; object detection; fault diagnosis;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：431 / 435
页数：5
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