Comprehensive Evaluation Model And Control Of General Aviation Fleet Equipment Reliability

With the opening of the low altitude(below 1000m)airspace,the development of the general aviation industry in China has made great progress.The fleet is the basis of the operation of the general aviation units.The reliability of the equipment of the fleet has directly affected the safe operation of the fleet.In order to make effective reliability management for navigational fleet equipment,we must establish a suitable reliability evaluation model for general aviation fleet equipment.This paper,taking the cessna172 R fleet of a general aviation unit as the research object,establishes the reliability evaluation model of the aircraft fleet including entropy weight method,variable fuzzy pattern recognition,BP neural network simulation and fuzzy grey correlation,and analyses and puts forward the reliability evaluation index of the equipment for the aeronautical fleet applicable to the fleet.At the same time,the reliability classification standard is determined.By using variable fuzzy pattern recognition to identify and analyze the landing gear,power device,ignition device,communication,navigation,and so on,and take the recognition result as the expected output of BP neural network,then the simulation is carried out,and the fuzzy grey relational grade is finally used.Based on the joint evaluation,a general aviation fleet equipment reliability control measure is proposed,which proves the accuracy and feasibility of the model.The evaluation and control model studied in this paper will help to enrich the "reliability centered" maintenance idea and realize the dynamic monitoring of the equipment reliability of the navigable fleet.So as to reduce accidents caused by mechanical causes in the operation of the fleet,reduce safety risks and improve the safety level of the fleet.