仿真信号模糊一致性分析与风险评估方法

为了完善基于置信区间的仿真信号一致性分析方法,考虑了置信区间与接收区间的长度匹配问题,定义来最佳样本容量,并在此基础上提出了基于D-S证据理论的仿真信号模糊一致性分析方法。同时为了对信号仿真模型的风险进行定量评估,建立了信号仿真模型风险系数函数,得到多参数仿真信号风险系数向量,以此给决策者和/或仿真用户提供决策支持。最后,用水中兵器仿真试验中水中目标辐射噪声仿真的应用实例加以说明。     

区间数与灰决策的作战效能评估模型

针对作战效能评估过程中评价指标值同时存在精确数、区间数和语言类模糊数的情况,引入区间数与灰决策原理,提出了一种基于区间数与灰决策的作战效能评估模型。结合案例分析,对模型合理性进行验证,结果表明,该模型能够真实地反映武器装备作战效能的综合评估值。     

中程空空导弹可攻击区解算的新方法

建立空空导弹初始发射距离三维预估模型,提出一种空空导弹可攻击区解算的新算法。该算法将空空导弹初始发射距离预估模型与黄金分割法相结合,用导弹初始发射距离预估值构成黄金分割法的初始搜索区间,进行攻击区边界搜索。仿真结果表明,该算法提高了空空导弹可攻击区的精度,降低了边界搜索循环次数,具有有效性。     

可供实用的舰船风浪中摇荡时历预报的模式

舰船在风浪中摇荡时历的极短期预报 ,具有多方面的实用价值 .现有的各种预报方法中 ,以卷积法和时间序列法中的ARMA模型较为常用 ,但如何测量艏前波是上述方法实施的前提条件 ,则未能解决 .文中提出的在舰船舯部装塔克测波仪 ,将所测波形时历转换为艏前任意点波形时历的方法 ,可解决上述矛盾 .再采用ARMA建模、依AIC法则估计模型阶数的预报方式 ,即可用于实船进行摇荡时历短期预报     

电磁干扰预测在频率方案选择中的应用

应用电磁干扰预测的原理 ,针对一体化通信指挥系统中 ,多部电台集中使用所带来的频率管理问题 ,进行了干扰多级预测 ,得出了保证电磁兼容性系统各电台之间应满足的频率间隔 ,提出了通信网中通信频率方案     

Estimating the point availability with right‐censored data

The point availability of a one‐unit system at a specified time is defined as the probability that the component is operating at that time. When both operating time and repair time are subject to random (right) censorship, we propose an asymptotic nonparametric approach for constructing confidence intervals for the point availability of the system. The technique is based on the fact that a product limit estimator converges to a Gaussian process. The method is also extended to finding confidence intervals for the point availability of a complex system using the δ‐Method. © 1999 John Wiley & Sons, Inc. Naval Research Logistics 46: 119–127, 1999     

非磁性建筑物空间磁场预测技术

提出了一种预测非磁性建筑物空间磁场分布的新技术.基于等效宏观磁导率和磁化率的概念,利用静磁场积分方程法的正演计算和反演计算技术,找出了试验模块磁场测量值与非磁性建筑物空间整体磁场之间的关系.通过试验模块测量和数学模型仿真相结合的手段,达到了预测低磁钢筋混凝土结构非磁性建筑物空间磁场分布的目的.     

基于圆孔夫琅和费衍射的CCD像素间距标定

提出了一种基于圆孔夫琅和费衍射原理的像素间距标定方法,利用研制的测试设备对图像采集系统的像素间距进行了测试,实现了CCD摄像系统像素间距的标定。     

具有不确定信息的作战方案优选的群决策方法

根据群决策的特点,按照集议决策的习惯程序,提出了一种充分发挥集议决策优势的群决策方法。并基于区间分析对潜艇布雷方案优选中的不确定性进行处理,最后利用了区间数多属性决策的TOPSIS法行为集结的最后结果（决策矩阵）进行数学集结,较好地做到了决策在定性和定量上的综合集成。     

A model to predict the residual life of aircraft engines based upon oil analysis data

This paper reports on a study using the available oil monitoring information, such as the data obtained using the Spectrometric Oil Analysis Programme (SOAP), to predict the residual life of a set of aircraft engines. The relationship between oil monitoring information and the residual life is established using the concept of the proportional residual, which states that the predicted residual life may be proportional to the wear increment measured by the oil analysis programmes. Assuming such a relationship between wear and the residual life exists, we formulated a recursive prediction model for the item's residual life given measured oil monitoring information to date. A set of censored life data of 30 aircraft engines (right censored due to preventive overhaul) along with the history of their monitored metal concentration information are available to us. The metal concentration information includes many variables, such as Fe, Cu, Al, etc.; not all of them are useful, and some of them may be correlated. The principal component analysis (PCA) has been adopted to reduce the dimension of the original data set and to produce a new set of uncorrelated variables, which we shall use in the prediction model. The procedure associated with estimating model parameters is discussed. The model is fitted to the actual SOAP data from the aircraft engines, and the goodness‐of‐fit test has been carried out. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2005.