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RSO Experimental Optimization Method for Rotor Set of Large Supercritical Generator Set
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Hong-liang WU, Yong LI, Chun-yuan HAO, Kun SHANG
Water Resources and Power | 2023, 41(8) : 192 - 195
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Water Resources and Power | 2023, 41(8): 192-195
ELECTROMECHANICS AND CONTROL ENGINEERING
RSO Experimental Optimization Method for Rotor Set of Large Supercritical Generator Set
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Hong-liang WU, Yong LI, Chun-yuan HAO, Kun SHANG
Affiliations
  • Guoneng Hebei Dingzhou Power Generation Co, Ltd, Dingzhou 073000, China
Published: 2023-08-25 doi: 10.20040/j.cnki.1000-7709.2023.20221630
Outline
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To improve the state detection effect of large supercritical generator rotor set, the RSO (Cyclic Periodic Electrical Impulse) detection method of large supercritical generator rotor set based on time difference calculation is designed. According to the principle of RSO detection method, the characteristics of time difference pulse signal are extracted. The detection model of coil short circuit is constructed according to the time difference characteristics of signal. Wavelet transform is used to denoise the time difference signal. Fix the rotor position and winding parameters are fixed to determine the fault position of the rotor set. Thus, the RSO detection of the rotor set of large supercritical generator unit is realized. The experimental results show that the difference between the detection results of the power spectrum amplitude of the initial rotor position, the rotor position at startup, the normal broken bar and the broken bar fault is small, which verifies the effectiveness of the proposed method.

time difference calculation  /  critical generator set  /  rotor  /  RSO detection
Hong-liang WU, Yong LI, Chun-yuan HAO, Kun SHANG. RSO Experimental Optimization Method for Rotor Set of Large Supercritical Generator Set[J]. Water Resources and Power, 2023 , 41 (8) : 192 -195 . DOI: 10.20040/j.cnki.1000-7709.2023.20221630
Year 2023 volume 41 Issue 8
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doi: 10.20040/j.cnki.1000-7709.2023.20221630
  • Receive Date:2022-08-08
  • Online Date:2026-01-28
  • Published:2023-08-25
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History
  • Received:2022-08-08
  • Revised:2022-10-24
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    Guoneng Hebei Dingzhou Power Generation Co, Ltd, Dingzhou 073000, China
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https://castjournals.cast.org.cn/joweb/sdnykx/EN/10.20040/j.cnki.1000-7709.2023.20221630
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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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