Reliability Evaluation Of Wind Turbine System Under The Influence Of Mixed Factors

With the energy crisis and environmental pollution,wind energy has been developed and utilized as a new green energy source.The wind power industry has also developed rapidly.In recent years,the scale and capacity of wind turbine assembly machines are increasing,and the failure failure problems are also increasing.The research on wind turbine reliability issues has also become the focus of attention.Therefore,in order to make wind turbines have good operational reliability,it is imperative to apply reliability analysis technology throughout the life cycle of wind turbines.The main research content of this paper is the reliability distribution and evaluation of wind turbines under the influence of mixed factors.Firstly,combined with the actual operating conditions of the wind turbine,the wind turbine structure diagram and reliability block diagram are established,and the wind turbine is analyzed by FMECA.Point out the shortcomings of the traditional wind turbine hazard analysis method,introduce the risk possible number method,and obtain a risk ranking that is more in line with people's cognition,and output the FMECA table.It laid the foundation for the reliability distribution and evaluation of wind turbines.Secondly,aiming at the large amount of ambiguity information in the process of reliability distribution of wind power generators,the complexity of traditional methods and the lack of consideration of objective factors,a combination of improved fuzzy analytic hierarchy process and improved entropy weight method is proposed.The weight distribution method is combined to distribute the reliability of large wind turbines,so that the distribution results have higher credibility and accuracy.It provides a simple and practical method for wind turbine reliability distribution.Third,according to the actual operation of the wind turbine and the operating environment,the influencing factors affecting the reliability assessment of the windturbine are analyzed.Through analysis,it can be concluded that there are two or more kinds of uncertainty information in the operating environment,and a scheme for dealing with multiple uncertainties by using the blind number theory is proposed.A blind number model for reliability assessment of wind turbines under the influence of multiple uncertainties was established and applied to the reliability assessment of actual wind turbines.Finally,the wind turbine reliability evaluation system is developed by using Matlab GUI module.The system is divided into two parts: reliability evaluation and reliability distribution.The experimental data and expert score data are used to verify the practicability of each system.The system is simple and convenient,and can help users quickly evaluate the reliability of wind turbines,providing a new way for reliability evaluation and distribution of wind turbines.