Detection and Diagnosis of Defect in GIS Based on X-ray Digital Imaging Technology

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.

[1]  Cheol-Hwi Ryu,et al.  Identification of insulation defects in gas-insulated switchgear by chaotic analysis of partial discharge , 2010 .

[2]  Anil K. Jain,et al.  Segmentation of X-ray and C-scan images of fiber reinforced composite materials , 1992, Pattern Recognit..

[3]  Caixin Sun,et al.  Improved Bagging Algorithm for Pattern Recognition in UHF Signals of Partial Discharges , 2011 .

[4]  Xiaohua Wang,et al.  Investigation on the placement effect of UHF sensor and propagation characteristics of PD-induced electromagnetic wave in GIS based on FDTD method , 2014, IEEE Transactions on Dielectrics and Electrical Insulation.

[5]  Ju Tang,et al.  Partial discharge recognition through an analysis of SF6 decomposition products part 2: feature extraction and decision tree-based pattern recognition , 2012, IEEE Transactions on Dielectrics and Electrical Insulation.

[6]  Yu Cheng,et al.  Measurement of the noise power spectrum in digital x-ray detectors , 2001 .

[7]  Arnold R. Cowen,et al.  Image quality evaluation of a direct digital radiography detector operating in a UK radiology department , 1999, Medical Imaging.

[8]  Hong Yu,et al.  The perspective detection of the X-ray digital radiography for the electrical equipment , 2012, 2012 International Conference on High Voltage Engineering and Application.

[9]  T. Boczar,et al.  Detection of high-energy ionizing radiation generated by electrical discharges in oil , 2016, IEEE Transactions on Dielectrics and Electrical Insulation.

[10]  M. Hanai,et al.  A unique sensitivity verification combined with real-time partial-discharge identification method , 2005, IEEE Transactions on Power Delivery.

[11]  George V. Lashkia.  Defect detection in X-ray images using fuzzy reasoning , 2001, Image Vis. Comput..

[12]  Tong Li,et al.  Application of signal sparse decomposition in the detection of partial discharge by ultrasonic array method , 2015, IEEE Transactions on Dielectrics and Electrical Insulation.

[13]  A. A. Tolkachev,et al.  A megawatt power millimeter-wave phased-array radar , 2000 .

[14]  Ibrahim A. Metwally,et al.  Status review on partial discharge measurement techniques in gas-insulated switchgear/lines , 2004 .

[15]  Richard Aufrichtig,et al.  DQE(f) of an amorphous-silicon flat-panel x-ray detector: detector parameter influences and measurement methodology , 2000, Medical Imaging.

[16]  Xiaoxing Zhang,et al.  A Transformer Partial Discharge Measurement System Based on Fluorescent Fiber , 2012 .

[17]  K. Urano,et al.  Application of combined PD sensor for GIS PD detection and condition monitoring , 2008, 2008 International Conference on Condition Monitoring and Diagnosis.

[18]  Richard L. Van Metter,et al.  Factors influencing image quality in digital radiographic systems , 2001, SPIE Medical Imaging.

[19]  B. F. Hampton,et al.  The excitation of UHF signals by partial discharges in GIS , 1996 .

[20]  Masayuki Hikita,et al.  New aspects of UHF PD diagnostics on gas-insulated systems , 2014, IEEE Transactions on Dielectrics and Electrical Insulation.

[22]  M Istad,et al.  Thirty-Six Years of Service Experience with a National Population of Gas-Insulated Substations , 2010, IEEE Transactions on Power Delivery.

[23]  Xiaohua Wang,et al.  Experimental Investigation on Propagation Characteristics of PD Radiated UHF Signal in Actual 252 kV GIS , 2017 .

[24]  Kamarul Hawari,et al.  A Review of Defect Detection on Electrical Components Using Image Processing Technology , 2013 .