Abstract：Based on the digital image restoration technology, for the shift-invariant system, a surface charge inversion algorithm was proposed in this paper. The matrix calculation between potential and charge was transferred into the frequency domain by the 2-D Fourier transform, and the noise signal was suppressed by the Constrained Least Square Filter (CLS-Filter). Afterwards, the deduction from surface potential distribution to surface charge density distribution was actualized. The calculating process and accuracy of the algorithm were discussed with the simulation, and its calculation performance was compared with the Wiener filter method and simulated charge method. Furthermore, the ability of image restoration and anti-jamming of different algorithms were quantitatively analyzed by introducing the deviation coefficient. In the end, the effectiveness of the algorithm was verified by surface potential measurement and dust figure method. The results showed that the CLS-Filter algorithm can restrain the noise signal effectively, improving the stability of charge inversion. And its calculated accuracy was significantly better than the existing algorithms at the high noise level. The calculated charge distribution agreed well with the dust figure, implying a certain accuracy and reliability of the algorithm.
潘子君, 潘成, 唐炬, 郝留成, 王亚祥. 基于图像复原技术与约束最小二乘方滤波器的绝缘子表面电荷反演算法[J]. 电工技术学报, 2021, 36(17): 3627-3638.
Pan Zijun, Pan Cheng, Tang Ju, Hao Liucheng, Wang Yaxiang. Inversion Algorithm for Surface Charge on Insulator Based on Image Restoration Technology and Constrained Least Square Filter. Transactions of China Electrotechnical Society, 2021, 36(17): 3627-3638.
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