MA Li xin, ZHANG Jian yu, ZHOU Xiao bo

 

(Department of Electrical Engineering School of Optical Electrical and Computer Engineering,

 

University of Shanghai for Science&Technology, Shanghai 200093, China)

 

 

Abstract: Aiming at the phenomena of locate the point of high voltage corona discharge equipment fault, The ICA image fusion algorithm and ultraviolet detection technology, ultraviolet imaging system was studied to solve the problem. The ICA image fusion algorithm was used in high voltage corona discharge equipment testing, ultraviolet discharge image and visible image was acquired and integrated in the discharge area according to the ultraviolet wavelength is from 200 nm to 400 nm in sun blind band. Then the accurate discharge point was located on fusion image. Research aiming at uv and visible light image′s gray histogram were much different, traditional FastICA algorithm and the weights of weighted fusion coefficient was optimized before processing, fusion rules was established to make partial discharge fault point express more clear. Experimental results show that the algorithm compare to the rest of the ultraviolet imager′s algorithms, the image information is richer, more accurate positioning and image fusion can effectively locate the high voltage corona discharge equipment point of failure.

 

Key words: UV detection technology; image fusion; fastICA algorithm; fusion rules