Preventive Maintenance Interval Optimization Research Of Aviation Turbine Blades

With the rapid development of our country’s civil aviation industry,the scale of the aviation market is also expanding.The traditional aviation maintenance cycle mostly uses the reference maintenance interval given by the manufacturer,which will lead to excessive costs and excess maintenance.In recent years,people have begun to formulate aviation maintenance programs based on different influencing factors,including reliability,maintenance costs and availability.This paper proposes a method for multi-objective comprehensive trade-off to determine the optimal maintenance interval for aviation turbine blades,and uses genetic algorithm to calculate the optimal solution.Firstly,analyze the structure,material and other aspects of aviation turbine blades,use FMEA analysis method to conduct fault mining,and judge the frequently occurring failure modes.Secondly,according to the relevant characteristics and failure characteristics of aviation turbine blades,and the consequences of failure,the optimal method is determined among various maintenance strategies.Then,based on the time delay characteristics of the components,the three target models of reliability,cost,and availability are optimized,and genetic algorithms are used to solve the optimal solution with the optimized model as the objective function and other conditions as constraints to meet the constraints.Conditional maintenance interval.Finally,the relevant numerical values of aviation turbine blades are used as a verification example,and Matlab is used to verify the feasibility and effectiveness of this model,which provides a basis for the study of maintenance intervals for small aviation components..