弹道学报Issue(4)：84-90,7.
弹药协调器动作可靠性估计
Action Reliability Estimation of Shell Transfer Arm
摘要
Abstract
Positioning failure of shell transfer arm is a typical fault of automatic ammunition loading-system of howitzer.The action reliability depends on several uncertainty variables.The explicit limit state function is nearly unavailable.To calculate the quantitative action reliability, uncertainty model of shell transfer arm was built and modified by using the measured data to improve the simulation accuracy.RBF neural network was used as agent model to improve the simulation efficiency.The network outputs were compared with original data.The result shows that the RBF neural network is satisfactory for fitting purpose.Monte-Carlo simulation based on agent model was implemented.Probability distribution of positioning errors was obtained.The es-timated action reliability of shell transfer arm is 92.48%.关键词
弹药协调器/动作可靠性/径向基神经网络/代理模型/Monte-CarloKey words
shell transfer arm/action reliability/RBF neural network/agent model/Monte-Carlo分类
军事科技引用本文复制引用
高学星,侯保林,孙华刚..弹药协调器动作可靠性估计[J].弹道学报,2015,(4):84-90,7.基金项目
国家自然科学基金项目(51175266/E050604) （51175266/E050604）
