Abstract
The existence of internal structural defects in gas insulated combinations (GIS) seriously affects the normal operation of equipment, and it needs an efficient and non-destructive detection method. This study is focused on the feasibility of X-ray digital imaging detection in GIS equipment monitoring. First, the digital imaging detection process is briefly introduced. Then, in order to obtain high-quality digital images, a correlation coefficient is introduced to improve the nonlocal mean filtering denoising algorithm. In terms of image enhancement, a histogram equalization method is introduced, and then an improved contrast-limited adaptive histogram equalization (CLAHE) method is proposed for image denoising. The detection system and image processing method of this study are used to detect two GIS equipment units of the Chongqing Electric Power Company (China). It is found that this method clearly and accurately detects the equipment defects with high reliability. This study provides some theoretical basis for further promotion of the X-ray digital radiography in GIS equipment defect detection.
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Russian Text © The Author(s), 2019, published in Avtometriya, 2019, Vol. 55, No. 6, pp. 70–75.
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Tan, H.Y., Li, L., Wu, G.L. et al. Digital Imaging Detection and Image Analysis of Internal Structural Defects in GIS. Optoelectron.Instrument.Proc. 55, 592–596 (2019). https://doi.org/10.3103/S8756699019060098
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DOI: https://doi.org/10.3103/S8756699019060098