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Quantitative Assessment for Turn-to-turn Insulation State of Generator Rotor Winding by Repetitive Surge Oscillograph Method
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Lei HU1, Junyuan XU1, 2, Xiaojian WANG1, 2, Congming YANG3, Jian WANG3, Zhigang MEI1, 2
Insulating Materials | 2021, 54(7) : 59 - 66
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Insulating Materials | 2021, 54(7): 59-66
Insulation Technology
Quantitative Assessment for Turn-to-turn Insulation State of Generator Rotor Winding by Repetitive Surge Oscillograph Method
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Lei HU1, Junyuan XU1, 2, Xiaojian WANG1, 2, Congming YANG3, Jian WANG3, Zhigang MEI1, 2
Affiliations
  • 1China Power Hua Chuang Electricity Technology Research Co., Ltd., Shanghai 200086, China
  • 2China Power Hua Chuang (Suzhou) Electricity Technology Research Co., Ltd., Suzhou 215123, China
  • 3Anhui Huainan Pingwei Power Generation Co., Ltd., Huainan 232000, China
Published: 2021-07-20 doi: 10.16790/j.cnki.1009-9239.im.2021.07.009
Outline
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In order to better use the repetitive surge oscillograph (RSO) method to quantitatively evaluate the turn-to-turn insulation defects of generator rotor winding, we conducted turn-to-turn short circuit simulation tests under different positions, different short circuit coils, and different short-circuit resistance on a real rotor when the generator was being repaired. The response waveform and characteristic waveform of the two poles were obtained by the RSO device. Three characteristic parameters that is voltage deviation rate, time deviation rate, and fault severity factor were proposed to study the characteristic waveform. The results show that RSO can be used to quantitatively evaluate the severity of turn-to-turn insulation defects of rotor, the fault type of rotor winding can be quickly determined according to the amplitude and deviation rate of voltage of characteristic waveform, and the fault location can be basically realized according to the time deviation rate. The voltage amplitude of the RSO characteristic waveform has a linear positive correlation with the number of short-circuit coils, and has an exponential relationship with the short-circuit resistance and the center time, respectively. The fault severity factor has a linear positive correlation with the number of short-circuit coils. According to the analysis results, two methods to quantitatively evaluate the severity of rotor turn to turn insulation defects are proposed, which can be used to accurately evaluate the turn-to-turn insulation status of rotors.

generator  /  rotor winding  /  repetitive surge oscillograph method  /  turn-to-turn insulation short circuit  /  quantitative assessment
Lei HU, Junyuan XU, Xiaojian WANG, Congming YANG, Jian WANG, Zhigang MEI. Quantitative Assessment for Turn-to-turn Insulation State of Generator Rotor Winding by Repetitive Surge Oscillograph Method[J]. Insulating Materials, 2021 , 54 (7) : 59 -66 . DOI: 10.16790/j.cnki.1009-9239.im.2021.07.009
Year 2021 volume 54 Issue 7
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doi: 10.16790/j.cnki.1009-9239.im.2021.07.009
  • Receive Date:2020-08-10
  • Online Date:2026-03-20
  • Published:2021-07-20
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History
  • Received:2020-08-10
  • Revised:2020-09-25
Funding
Affiliations
    1China Power Hua Chuang Electricity Technology Research Co., Ltd., Shanghai 200086, China
    2China Power Hua Chuang (Suzhou) Electricity Technology Research Co., Ltd., Suzhou 215123, China
    3Anhui Huainan Pingwei Power Generation Co., Ltd., Huainan 232000, China
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https://castjournals.cast.org.cn/joweb/jycl/EN/10.16790/j.cnki.1009-9239.im.2021.07.009
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表12种不同金属材料的力学参数

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Number of
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Number of
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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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