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To address the limitations of traditional methods in accurately detecting micro-defects in epoxy-based insulation, we proposed a novel defect detection method based on photon emission counting analysis under different defect influence. Insulation rod and insulation spacer samples with scratches, surface protrusions, and metal particles were prepared, and their photon counting before partial discharge inception was tested under AC voltage excitation. The results indicate that the average photon counting of samples with severe defects is 12 times higher than that of samples without defects. The photon counting results are significantly influenced by defect types, sizes, position, and insulation gas, and the average photo counting is positively correlated with the defect severity. Therefore, the photon counting can be as a promising tool for early detection of defects in epoxy-based insulation materials.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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