Abstract
For better application of X-ray digital imaging technology in defect detection in Gas Insulated Switchgear (GIS), it is essential to investigate the typical defect and establish the defect database, which has not been adequately performed in previous work. Systematic experimental research is also needed to accumulate data and experience. In this research, an experimental platform, including Computed Radiography (CR) imaging system and a GIS model, is built, and extensive tests of different kinds of typical defects are studied. The influence X-ray irradiation on SF6 under different tube voltage levels is firstly examined, which proves that the withstand voltage of SF6 gas has not been affected and no dissociation has been found. Then, several kinds of defects are tested by X-ray digital imaging technology. The successful application examples of “visual” detection of defects further prove the practicability and validity of the X-ray digital imaging technique. Finally, the image database of typical defects inside of GIS is established and the defect risk is also analyzed in three levels, which would be useful for the defect severity diagnosis and risk assessment.
Highlights
Image processing technology has been extensively adopted in abnormal defect detection and diagnosis of electrical equipment because of the high accuracy and rich processing content [1,2].Of varied methods, X-ray digital imaging technology can observe the internal structure abnormality of electrical equipment under live operation conditions by non-contact and nondestructive testing [3,4,5,6].Gas insulated switchgear (GIS) is one of the important equipment in the power system
The detection and diagnosis of defects in Gas Insulated Switchgear (GIS) based on X-ray digital imaging technology are profoundly investigated in this research, helping to improve and guide the actual application
The experimental platform, including Computed Radiography (CR) digital imaging system and the GIS model, is set up and the test tooling, which can be filled with SF6 in a certain pressure, is designed
Summary
Image processing technology has been extensively adopted in abnormal defect detection and diagnosis of electrical equipment because of the high accuracy and rich processing content [1,2]. PD detection, ultrasonic partial discharge (PD) detection, and gas decomposition detection of SF6 , are proved to be effective and widely used to find the internal insulation defect [12,13,14,15,16,17,18] These methods are all indirect detections that are not able to diagnose the physical defects accurately when no PD occurs [19,20,21,22]. As for the X-ray digital digital imaging detection, it is practical to identify and diagnose the internal defects in GIS. An experimental arrangement is built, and the typical defects are detected by the X-ray digital imaging method, and the image results are obtained. The experimental results and the image database with the risk classification are original and would be useful for the practical application of X-ray digital imaging detection.
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