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Reliability modeling and analysis of wind turbine based on distribution function optimization
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Zhen WANG1, Guoqing LI2, Wang’an FU3, Wei DENG1, Haiming WANG3, Yong ZHAO1, Renqi SU3
Thermal Power Generation | 2024, 53(11) : 56 - 65
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Thermal Power Generation | 2024, 53(11): 56-65
Special topic on low-carbon transformation of power system
Reliability modeling and analysis of wind turbine based on distribution function optimization
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Zhen WANG1, Guoqing LI2, Wang’an FU3, Wei DENG1, Haiming WANG3, Yong ZHAO1, Renqi SU3
Affiliations
  • 1.Xi’an Thermal Power Research Institute Co., Ltd., Xi’an 710054, China
  • 2.China Huaneng Group Co., Ltd., Beijing 100031, China
  • 3.Clean Energy Branch of Huaneng (Zhejiang) Energy Development Co., Ltd., Hangzhou 310007, China
Published: 2024-11-25 doi: 10.19666/j.rlfd.202403082
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Reliability model is the foundation of reliability analysis. Conventional reliability modeling takes the entire system as the research object, and uses all fault data to fit the distribution function of the system, estimate parameters, and optimize the model, thus to determine the distribution type and distribution function of the system, and then to calculate the reliability indicators of the system. Wind turbine is a typical complex electromechanical system, with different functions, structures, and fault forms of each subsystem. It is obviously inappropriate to use one distribution function to determine the fault distribution of the entire system. Therefore, based on the collected and sorted fault data of wind turbines, the distribution function optimization-based reliability modeling and analysis technology of wind turbines is proposed. By applying the commonly used exponential distribution, normal distribution, log-normal distribution, Weibull distribution and gamma distribution, the distribution function fitting, parameter estimation and goodness of fit analysis of the fault interval of each subsystem of wind turbines are carried out, and the distribution function and subsystem reliability function of the fault interval time of each subsystem are determined. On this basis, a Copula connection function is used to establish the reliability function model for wind turbines, taking into account the fault correlation between subsystems. Moreover, an example analysis is conducted on the fault data of an offshore wind turbine, which verifies the feasibility of the proposed method.

wind turbine  /  distribution function  /  reliability modeling  /  fault correlation analysis  /  reliability analysis
Zhen WANG, Guoqing LI, Wang’an FU, Wei DENG, Haiming WANG, Yong ZHAO, Renqi SU. Reliability modeling and analysis of wind turbine based on distribution function optimization[J]. Thermal Power Generation, 2024 , 53 (11) : 56 -65 . DOI: 10.19666/j.rlfd.202403082
  • Science and Technology Project of China Huaneng Group Co., Ltd.(HNKJ20-H72-02)
Year 2024 volume 53 Issue 11
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Article Info
doi: 10.19666/j.rlfd.202403082
  • Receive Date:2024-03-07
  • Online Date:2026-03-05
  • Published:2024-11-25
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  • Received:2024-03-07
Funding
Science and Technology Project of China Huaneng Group Co., Ltd.(HNKJ20-H72-02)
Affiliations
    1.Xi’an Thermal Power Research Institute Co., Ltd., Xi’an 710054, China
    2.China Huaneng Group Co., Ltd., Beijing 100031, China
    3.Clean Energy Branch of Huaneng (Zhejiang) Energy Development Co., Ltd., Hangzhou 310007, China
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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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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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