飞机战伤抢修备件需求预测方法研究  

Spare Part Requirement Prediction Method for Aircraft Battle Damage Repair

作　　者：蔡开龙[1] 姚武文[1] 孙云帆[1] 刘承相[2] 

机构地区：[1]空军第一航空学院,河南信阳464000 [2]空军航空大学,长春130000

出　　处：《电光与控制》2010年第12期60-63,共4页Electronics Optics & Control

基　　金："十一.五"重点基金项目(51327010101)

摘　　要：针对飞机战伤抢修备件需求预测模型存在的强非线性,利用RBF网络的参数自调节性和能以任意精度逼近任意非线性系统的特性,提出了飞机战伤抢修备件需求的RBF网络预测方法。仿真实验结果表明,基于RBF网络的飞机战伤抢修备件需求预测模型具有较强的自适应性和较高的计算精度,将其用于预测飞机战伤抢修备件需求是完全可行和行之有效的。The prediction model of spare part requirement in aircraft battle damage repair often has strong nonlinearity. To solve the problem,we proposed a Radial Basis Function （RBF） network based method for predicting the spare part requirement by using the network＇s self-adaptability and the capability of approaching arbitrary nonlinear system at arbitrary precision. Result of simulation showed that the RBF network based spare part precision, which is feasible repair requirement prediction model and effective in predicting the has fine self-adaptability spare part requirement of and high calculation aircraft battle damage repair.

关 键 词：飞机 战伤抢修 备件需求预测 RBF网络 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计] TP181[自动化与计算机技术—控制理论与控制工程]