Detection and Diagnosis of Defect in GIS Based on X-ray Digital Imaging Technology †
Abstract
:1. Introduction
2. X-ray Digital Imaging Detection Technology
2.1. Principle of X-ray Digital Imaging
2.2. Experimental Platform Construction
3. Influence of X-ray Irradiation on SF6
3.1. The Withstand Voltage Test after X-ray Irradiation
3.2. SF6 Dissociation Test after X-ray Irradiation
4. Experimental Test of X-ray Digital Imaging Detection for GIS
4.1. Free Metal Particles
4.2. Flaky Free Particles
4.3. Adsorbents and Cover
4.4. The Loosened Metal Screw
5. Defect Database Establishment and Defect Risk Assessment
5.1. General Defect
5.1.1. False Welding without Gas Leaking
5.1.2. Foreign Bodies in the Particle Trap
5.1.3. Slight Loosening of Metal Screw in the Grading Shield
5.1.4. Metal Tip in the Grading Shield
5.1.5. Adsorbent Cover Made of High Strength Rigid Plastics
5.2. Serious Defect
5.2.1. Oblivious Loosening of Metal Screw in the Grading Shield and without PD
5.2.2. A Long Tip without PD
5.2.3. Adsorbent Cover Made of General Plastics
5.2.4. No Absorbent and Normal Moisture
5.2.5. Partial Spring Missing
5.3. Critical Defect
5.3.1. Foreign Bodies in the Tank
5.3.2. The Metal Screw Loosened Obviously and Have PD
5.3.3. Damage of Plastic Adsorbent Cover
5.3.4. Missing Key Components
5.3.5. No Absorbent and Excessive Moisture
5.4. Typical Defect Database of X-ray Visualization and Risk Assessment
6. Discussion
6.1. Personnel Protection
6.2. The Radiation Time and the Effect
6.3. Limitations
7. Conclusions
- The experimental platform, including 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. The withstand voltage test and dissociation test of SF6 after X-ray irradiation under different tube voltages are launched, which indicates that the decomposition characteristics and withstand voltage of SF6 gas are unaffected.
- The common defects, including different kinds of free particles, the adsorbent cover with different materials and the loosened metal screw are detected by the X-ray digital imaging method and the images results are obtained. The lower parameters’ limit of the clearness of free particles is found to be the diameter of 0.11 mm and length of 3 mm. The material of adsorbent cover in GIS can be clearly distinguished, and the loosened metal screw in GIS is visible under X-ray digital imaging.
- Plenty of examples of the defects, which are divided into three grades, are analyzed, while the corresponding criteria of X-ray detection under different defects are also given. Accordingly, the image database of typical defects is established and generalized, which provides a reference for the defect severity diagnosis.
Author Contributions
Funding
Conflicts of Interest
References
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Tube Voltage | Gas Composition | New Gas | 1 min | 3 min | 5 min | 7 min |
---|---|---|---|---|---|---|
100 kV | CF4(uL/L) | 21.2 | 21.2 | 21.4 | 21.3 | 21.2 |
H2S(uL/L) | 0 | 0 | 0 | 0 | 0 | |
SO2(uL/L) | 0 | 0 | 0 | 0 | 0 | |
SF6(%) | 99.99 | 99.99 | 99.99 | 99.99 | 99.99 | |
200 kV | CF4(uL/L) | 21.3 | 21.4 | 21.3 | 21.2 | 21.3 |
H2S(uL/L) | 0 | 0 | 0 | 0 | 0 | |
SO2(uL/L) | 0 | 0 | 0 | 0 | 0 | |
SF6(%) | 99.99 | 99.99 | 99.99 | 99.99 | 99.99 | |
300 kV | CF4(uL/L) | 21.2 | 21.4 | 21.3 | 21.3 | 21.2 |
H2S(uL/L) | 0 | 0 | 0 | 0 | 0 | |
SO2(uL/L) | 0 | 0 | 0 | 0 | 0 | |
SF6(%) | 99.99 | 99.99 | 99.99 | 99.99 | 99.99 |
Defect Grade | A | B | C | ||
---|---|---|---|---|---|
Defect type | Tank wall | false welding without leaking | \ | \ | |
Foreign bodies | single and small in particle trap | more and higher in particle trap | in the tank | ||
Grading shield | Metal tip | subsistent and air tight | longer with no PD | longer with PD * | |
Metal screw | slight loosening | apparent loosening with no PD | apparent loosening with PD * | ||
Adsorbent cover | strength rigid plastics | general material plastic | breakage | ||
Tank moisture value | \ | no absorbent and normal moisture | no absorbent with exceeded moisture | ||
Component missing | \ | spring of disconnector | key parts missing |
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Li, T.; Pang, X.; Jia, B.; Xia, Y.; Zeng, S.; Liu, H.; Tian, H.; Lin, F.; Wang, D. Detection and Diagnosis of Defect in GIS Based on X-ray Digital Imaging Technology. Energies 2020, 13, 661. https://doi.org/10.3390/en13030661
Li T, Pang X, Jia B, Xia Y, Zeng S, Liu H, Tian H, Lin F, Wang D. Detection and Diagnosis of Defect in GIS Based on X-ray Digital Imaging Technology. Energies. 2020; 13(3):661. https://doi.org/10.3390/en13030661
Chicago/Turabian StyleLi, Tianhui, Xianhai Pang, Boyan Jia, Yanwei Xia, Siming Zeng, Hongliang Liu, Hao Tian, Fen Lin, and Dan Wang. 2020. "Detection and Diagnosis of Defect in GIS Based on X-ray Digital Imaging Technology" Energies 13, no. 3: 661. https://doi.org/10.3390/en13030661
APA StyleLi, T., Pang, X., Jia, B., Xia, Y., Zeng, S., Liu, H., Tian, H., Lin, F., & Wang, D. (2020). Detection and Diagnosis of Defect in GIS Based on X-ray Digital Imaging Technology. Energies, 13(3), 661. https://doi.org/10.3390/en13030661