Gearbox is one of the important element for wind turbine transmission system. To analysis the overall reliability of the gearbox transmission system
the gearbox transmission system of a 2 MW wind turbine which operate in the Dabancheng wind farm in Xinjiang was studied. A stochastic wind speed model as the external excitation was established by using the annual wind speed data of the wind farm. A gear-axle-bearing dynamics model of the transmission system was referenced to solves the meshing force of gear pairs by taking time-varying mesh stiffness and transmission error as the internal excitation. The Gamma strength degradation model and correlation function of each gear were established by considering the failure modes of contact and bending. Based on introducing the influence of time variable into the basic Copula model and selecting multiple Copula functions
the corresponding mixed Copula model was developed according to the joint distribution of different gear performance functions. In order to obtain the dynamic reliability of each gear part in the transmission system
a genetic algorithm was used to solve the unknown parameters in the mixed Copula model. The results of study has significant instruction for the maintenance of wind turbines.
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