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In order to improve the reliability of interlayer gap discharge faults diagnosis in winding, taking a hydrogenerator stator winding as the experimental object, the influencing factors of diagnosing interlayer gap discharge through partial discharge were studied. Firstly, the characteristics of interlayer gap discharge in winding under the superposition of multiple discharge sources were obtained through offline test, online test, and simulation test. Then, by simulating the electrical conduction attenuation of bar and combined with the generator winding structure and detection distance, the effect of detection distance on the detection results was analyzed. The results show that the winding interlayer gap discharge has independent characteristics, the pulse distribution is suspended in PRPD pattern and has symmetrical positive and negative polarities. The pulse peak values are located around 45° and 225°. In one phase, the positive and negative polarity pulse peak values simultaneously deviate to the right of 45° and 225°, while in the other phase, the positive and negative polarity pulse peak values simultaneously deviate to the left of 45° and 225°. When the winding structure is different, the distribution of discharge gaps and the length of lead ring are also different, resulting in significant differences in detection distance, which has great effect on the amplitude detection results of partial discharge signals. If only electrical conduction is considered, for every one meter increase in detection distance, the average attenuation of partial discharge amplitude is approximately 10%. When only one closer phase can detect gap discharge, the interphase analysis method fails. Even there are multiple discharge sources and gap discharge simultaneously in winding, the interlayer gap discharge can be identified through the suspended characteristics of gap discharge PRPD pattern. The detection range has an impact on the identification of partial discharge patterns. When the global spectra with large range is complete, while the local patterns overlap with each other, the specific faults cannot be identified. When the global spectra with small range is incomplete, while the local patterns are clear, the specific faults can be identified.
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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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