Research on Acousto-optic Joint Detection and Visual Diagnosis Method of Power Equipment
Yi Li, Ming Ren, Bin Wang, Chongxing Zhang, Ming Hai Dong · 2021
Inclusions, pores, and cracks in the insulation materials of electrical equipment is increasing, leading to the continuous occurrence of insulation cracking and burning, which seriously threatens the safe and stable operation of the power grid. In the cause of above problems, this paper proposes a joint detection and diagnosis method for the outdoor insulation status, using image matching and image fusion technology to fuse the ultrasound and ultraviolet results, and thus quickly locate the corona discharge of high-voltage devices. First, based on the optimized multiple signal classification (MUSIC) algorithm and the ultrasonic single helix sensor array, an ultrasonic positioning visualization method of corona discharge is proposed. Subsequently, based on the refracted light path realizing the ultraviolet imaging, the visualization of the ultraviolet positioning is presented. Ultimately, the result of image fusion is provided. The positioning error evaluation of each part is carried out in the meantime. Facts proved the proposed algorithm is in high accuracy and good adaptability. Moreover, the proposed visualization method is faster locating insulation fault, and has broad application prospects.