Bayesian sampling plans for exponential distributions with interval censored samples

This article studies the problem of designing Bayesian sampling plans (BSP) with interval censored samples. First, an algorithm for deriving the conventional BSP is proposed. The BSP is shown to possess some monotonicity. Based on the BSP and using the property of monotonicity, a new sampling plan modified by the curtailment procedure is proposed. The resulting curtailed Bayesian sampling plan (CBSP) can reduce the duration time of life test experiment, and it is optimal in the sense that its associated Bayes risk is smaller than the Bayes risk of the BSP if the cost of the duration time of life test experiment is considered. A numerical example to compute the Bayes risks of BSP and CBSP and related quantities is given. Also, a Monte Carlo simulation study is performed to illustrate the performance of the CBSP compared with the BSP. The simulation results demonstrate that our proposed CBSP has better performance because it has smaller risk. The CBSP is recommended. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 604–616, 2015     

A queueing system with vacations after N services

This article is devoted to the study of an M/G/1 queue with a particular vacation discipline. The server is due to take a vacation as soon as it has served exactly N customers since the end of the previous vacation. N may be either a constant or a random variable. If the system becomes empty before the server has served N customers, then it stays idle until the next customer arrival. Such a vacation discipline arises, for example, in production systems and in order picking in warehouses. We determine the joint transform of the length of a visit period and the number of customers in the system at the end of that period. We also derive the generating function of the number of customers at a random instant, and the Laplace–Stieltjes transform of the delay of a customer. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 646–658, 2015     

海战潜艇兵力作战任务聚合、解聚与重构实现

根据海战仿真对潜艇作战仿真的多分辨率需求,采用聚合与解聚的方法对潜艇智能兵力作战行为模型进行层次划分和结构化设计,利用J2EE/EJB组件建模技术构建了潜艇智能兵力作战行为仿真组件模型,通过行为决策模型构建和多分辨率接口设计,对兵力作战任务进行解聚和聚合,仿真不同分辨率下的作战任务行为和作战指标,并通过任务行为决策控制参数调整实现兵力作战行为重构,满足了系统对智能兵力作战行为多分辨率建模和战法战术验证的功能需求,并有效提高了模型利用效率和可重用性。     

半自动输弹机模糊控制系统

针对某半自动输弹机系统实际的输弹过程,提出了模糊控制系统的控制方案,根据本输弹机系统的模型设计了模糊控制参数。运用Matlab/Simulink仿真软件分别对采用模糊控制的系统和采用普通PID控制算法的系统进行仿真,得到各系统的单位阶跃响应曲线图和抗干扰信号图。对输弹机进行上炮试验,对比采用模糊控制的系统和采用普通PID控制算法的系统的实验结果,得到采用模糊算法的输弹机系统的卡膛一致性能很好的满足要求,具有一定的实践意义。     

基于改进MUSIC算法的宽带频谱快速感知方法

针对宽带频谱感知中采样率大、感知时间长的问题,在调制宽带转换器采样的基础上提出了一种改进多重信号分类算法的宽带频谱快速感知方法。调制宽带转换器对宽带频谱进行欠奈奎斯特采样,以最小描述长度准则估计信号个数,用改进多重信号分类谱估计信号位置。算法引入调整因子,使得多重信号分类谱中信号位置更为明显,降低了噪声的干扰。整个感知过程无需重构原始波形,无需计算频谱,大大降低了计算量,而且感知算法计算复杂度低,提高了感知效率。仿真结果表明,在低信噪比的情况下,该算法仍具有很好的检测性能。     

采用压缩感知的卫星高频姿态确定方法

高频振荡通常会超过星载陀螺和星敏的测量频率范围,导致卫星姿态确定精度下降。因此,提出一种基于常规姿态传感器进行高频姿态确定的方法。将高频姿态抖动看作一个稀疏信号,通过压缩感知的方法将该信号从低频采样结果中恢复。利用低带宽姿态传感器和卡尔曼滤波器测量得到低频姿态数据并进行融合,再通过压缩感知算法从融合数据中恢复出高频姿态数据。通过仿真实验验证了该方法的有〖BHDWG8,WK10YQ,DK1*2,WK1*2D〗〖XCWP.TIF;%129%129〗听语音 聊科研与作者互动 效性。     

Burning characteristics of high density foamed GAP/CL-20 propellants

The monolithic foamed propellants with high densities were prepared by casting and two-step foaming processes. Glycidyl azide polymer (GAP) and isocyanate were used as the binder system and 2,4,6,8,10,12-hexanitro-2,4,6,8,10,12-hexaazaisowurtzitane (HNIW, CL-20) was employed as the energetic component. The newly designed formulation containing 60 % CL-20 produced a force constant of 1077 J/g and low flame temperature of 2817 K. Two foamed propellants with densities of 1.32 g/cm³ and 1.53 g/cm³ were fabricated by a confined foaming process and examined by closed bomb tests. The results revealed that porosity significantly affects burning performance. A size effect on combustion behaviors was observed for the foamed propellant with 5.56 % porosity, and a double-hump progressive dynamic vivacity curve was obtained. At last, the 30 mm gun test was carried out to demonstrate the interior ballistic performance, and the muzzle velocity increased by 120 m/s at the same maximum chamber pressure when monolithic propellant was added in the charge.     

高超声速圆柱绕流中驻点热流的稀薄效应

采用Fay-Riddell关系式、直接模拟Monte Carlo方法和基于直接模拟Monte Carlo流场温度的Fourier传热三种热流表达方式,分别对比研究了不同来流克努森数(Kn)和不同来流马赫数(Ma)的结果,以期从微观视角给出经典连续方法在稀薄流区高估驻点热流的新理解。结果表明,驻点热流的稀薄效应体现在三个方面:一是温度跳跃,削弱温度梯度导致驻点热流降低;二是壁面附近平动非平衡,导致Fourier热传导定律失效且高估热流;三是壁面约束,致使Fourier热传导定律在距壁面3倍分子平均自由程内高估热流。     

基于BP人工神经网络的GPS/SINS组合导航算法

基于扩展Kalman滤波的GPS/SINS组合导航算法,需要对原始的非线性连续系统模型进行线性化和离散化处理,要求系统噪声和测量噪声为零均值的高斯白噪声,且易于出现滤波器发散。BP人工神经网络无需对所求解的问题建模,能够很好地逼近系统非线性特性,获得较高精度的导航定位信息;还具有计算过程稳定,不涉及矩阵求逆,不需要迭代逼近,以及容易实现并行处理等优点。设计适用于GPS/SINS组合导航系统的BP网络模型,并在标准的BP算法基础上,采用共轭梯度法改进网络训练速度及精度。最后,通过仿真算例说明BP网络方法用于GPS/SINS组合导航计算的可行性。     

ZCS半桥式DC/DC变流器状态空间法建模及Matlab仿真分析

分析了一种ZCS半桥式DC DC变流器时域工作特性.通过研究其工作各阶段的特性建立了其状态空间模型,采用Matlab语言进行编程仿真,得到其输出电压时域仿真波,与实测吻合,证明了所建状态空间模型的正确性,得到变流器工作的一些有用结论,有助于指导下一步变流器的传导干扰分析和抑制.