Title :
Detection and fault diagnosis of power transmission line in infrared image
Author :
Siyuan He;Dawei Yang;Wentao Li;Yong Xia;Yandong Tang
Author_Institution :
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, 110016, P.R. China
fDate :
6/1/2015 12:00:00 AM
Abstract :
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.
Keywords :
"Power transmission lines","Fault diagnosis","Image segmentation","Automata","Mathematical model","Accuracy"
Conference_Titel :
Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-8728-3
DOI :
10.1109/CYBER.2015.7287976