摘要
维修保障系统效能评估是军用飞机精细化、规范化管理的一项重要措施,科学的维修保障系统效能评估是精细化保障的基础,是提升战斗力的保证。针对军用飞机的维修保障系统效能评估问题,在总结军用飞机维修保障系统效能评估体系的基础上,提出基于粒子群优化极限学习机算法(PSO-ELM)的维修保障系统效能评估模型;并通过实例进行验证。结果表明:该算法应用于军用飞机维修保障系统的效能评估是可行的,可为军用飞机维修保障效能评估提供借鉴。
Effectiveness evaluation of maintenance support system is one of the most important measures in the fine and standardized management of military aircraft.A scientific effectiveness evaluation of maintenance support system is the foundation of fine protection and the guarantee of improving the fighting capacity.Targeted at the issue of the maintenance support system effectiveness evaluation of the military aircraft,the thesis firstly summarized effectiveness evaluation systems of maintenance support system,and a effectiveness evaluation model is proposed based on PSO-ELM.Finally,the feasibility of the method is verified through analysis,which can provide reference for the effectiveness evaluation of maintenance support of military aircraft.
作者
涂刚
郭基联
周义蛟
Tu Gang;Guo Jilian;Zhou Yijiao(The PLA＇s Office in XAC,Xi＇an 710089,China;College of Aeronautics Engineering,Air Force Engineering University,Xi＇an 710038,China)
出处
《航空工程进展》
CSCD
2018年第3期418-423,共6页
Advances in Aeronautical Science and Engineering
基金
国家自然科学基金(71501185)
关键词
军用飞机
维修保障系统
效能评估
粒子群优化算法
极限学习机
military aircraft
maintenance support system
effectiveness evaluation
particle swarm optimizationalgorithm
extreme learning machine
