Modelling the effect of time-dependent covariates on the failure rate of wind turbines

Abstract

Wind power is one of the most mature renewable energy technologies. In practice, wind farms are widely distributed, and wind turbines often work under different environments. Therefore, it is important to investigate the effects of environmental covariates on the failure of wind turbines. This paper focuses on the modelling of the effect of time-varying environmental covariates on the failure rate of a component of wind turbines. The relations between the component failure rate and the environmental covariates are modelled using the proportional hazard model (PHM) based on a practical dataset. The modelling process can be used to evaluate the effects of environmental factors on the failure rate of other components.