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Fatigue damage prediction of wind turbine gear transmission system considering dynamic parameter identification
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Hao Li, Wen Lyu, Jianjun Tan, Shuyi Yang
Renewable Energy Resources | 2025, 43(4) : 476 - 483
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Renewable Energy Resources | 2025, 43(4): 476-483
Fatigue damage prediction of wind turbine gear transmission system considering dynamic parameter identification
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Hao Li, Wen Lyu, Jianjun Tan, Shuyi Yang
Affiliations
  • 1 State Key Laboratory of Mechanical Transmission Chongqing University Chongqing 400044 China
Published: 2025-04-20
Outline
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Through establishing the torsional dynamic model of wind turbine gear transmission system, a method of dynamic parameter identification and fatigue damage prediction of wind turbine gear transmission system based on mechanism model and operating state is proposed, and the dynamic response and fatigue damage prediction effect of wind turbine gear transmission system under different gear wear states are analyzed. The research results indicate that the identified gear rotational inertia and meshing stiffness are in good agreement with the target values; The contact fatigue damage of the same gear is generally greater than that of bending fatigue damage, and gear wear can exacerbate the fluctuation of dynamic meshing force and increase fatigue damage. Under different gear wear states, the estimated values of system dynamic response and gear fatigue damage are in good agreement with the target values.

wind turbine  /  gear transmission  /  parameter identification  /  fatigue damage
Hao Li, Wen Lyu, Jianjun Tan, Shuyi Yang. Fatigue damage prediction of wind turbine gear transmission system considering dynamic parameter identification[J]. Renewable Energy Resources, 2025 , 43 (4) : 476 -483 .
Year 2025 volume 43 Issue 4
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Article Info
  • Receive Date:2023-06-15
  • Online Date:2025-07-18
  • Published:2025-04-20
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  • Received:2023-06-15
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Affiliations
    1 State Key Laboratory of Mechanical Transmission Chongqing University Chongqing 400044 China
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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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