Title :
Extra Matters Recognition of Transmission System Based on Hough Transform
Author :
Yan, Shujia ; Jin, Lijun
Author_Institution :
Coll. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China
Abstract :
Exploring a new method of line-tracking is the key to smart grid construction. Obtaining information of high-voltage transmission system by helicopter or unmanned aerial vehicles (UAV) will bring numerous images. The research of extra matter recognition of transmission system based on Hough Transform (HT) is performed in this paper. The gradient of gray image is used to detect the edge of transmission lines. The pattern vector is comprised of the number of local maximum in HT accumulator and the number of segments tested at last. A recognition system is proposed to test the false identification rate (FIR). This research can be used in fault recognition and diagnosis in power system.
Keywords :
Hough transforms; fault diagnosis; power grids; power transmission faults; power transmission lines; HT accumulator; Hough transform; extra matters recognition; false identification rate; fault diagnosis; fault recognition; gray image; high-voltage transmission system; line-tracking; pattern vector; power system; recognition system; smart grid construction; transmission lines; unmanned aerial vehicles; Helicopters; Image edge detection; Image segmentation; Power transmission lines; Transforms;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6253-7
DOI :
10.1109/APPEEC.2011.5748630
