基于网格技术的联合空情预警体系建设

网格技术的先进理念与联合空情预警体系的思想不谋而合,将网格技术应用于联合空情预警体系的建设之中,必将引发联合空情预警体系系统功能全面性、革命性的提升。首先提出基于网格技术构建联合空情预警体系的建设思路,详细分析了联合空情预警体系的功能构想,着重探讨了联合空情预警体系的作战体系结构、系统体系结构、技术体系结构,并提出联合空情预警体系构建中应把握的几个重要问题。     

预警卫星对战术弹道导弹预警能力研究

从研究DSP预警卫星预警原理出发,分析了战术弹道导弹主动段的弹道特征和尾焰的红外辐射特性,从关机点速度预报偏差与射程偏差的角度,基于弹道学原理并利用三次样条插值方法,建立了DSP预警卫星对常规战术弹道预警能力仿真模型,通过仿真计算,可以发现在无干扰条件下,DSP预警卫星对弹道导弹落点预报精度非常高。     

磷酸盐水泥凝结时间研究

试验研究了缓凝剂、氧化镁比表面积及活性、粉煤灰、环境温度、水固比等因素对磷酸盐水泥(MPC)凝结时间的影响,并就磷酸盐水泥水化机理进行讨论.研究结果发现,缓凝剂、氧化镁比表面积及活性、环境温度三者对磷酸盐水泥凝结时间影响较大,而粉煤灰掺量与水固比对凝结时间的影响作用相对较小.     

基于灰色关联的预警系统目标识别

针对弹道导弹预警系统目标识别任务的特点,通过分析弹道导弹和飞机目标间的运动特性差异,采用灰色关联分析方法建立了目标类型识别模型,给出了进行目标类型识别的具体步骤。该方法直接从雷达测量数据出发,具有简单、准确的优点。具体的算例验证了基于灰色关联分析的目标类型识别模型应用于目标识别的可行性和有效性。     

本征模式函数与经验模式分解方法分析

介绍本征模式函数IMF满足的条件和定义,分析了经验摸式分解EMD的前提、本质及其对非线性平衡系统数据处理所体现的优越性,并以隧道采集的风力数据处理为例,对上述理论进行了验证,展示了这种新方法的作用和效果。最后,从理论上证明了所处理数据的完备性及EMD成员正交性应满足的条件。     

时域超宽带紧缩场雷达目标特性测量系统研究与开发

介绍时域超宽带雷达目标特性测量系统的工作原理及测量软件的开发过程。首次将数字取样示波器应用于紧缩场,研究测量原理,给出系统结构及测量流程图,开发超宽带紧缩场暗室雷达目标特性测量系统,包括雷达散射截面测量、极化散射矩阵测量和微波成像等模块。最后给出该系统测量获得的部分数据。     

Optimal burn‐in procedure for periodically inspected systems

Burn‐in is a widely used method to improve the quality of products or systems after they have been produced. In this paper, we study burn‐in procedure for a system that is maintained under periodic inspection and perfect repair policy. Assuming that the underlying lifetime distribution of a system has an initially decreasing and/or eventually increasing failure rate function, we derive upper and lower bounds for the optimal burn‐in time, which maximizes the system availability. Furthermore, adopting an age replacement policy, we derive upper and lower bounds for the optimal age parameter of the replacement policy for each fixed burn‐in time and a uniform upper bound for the optimal burn‐in time given the age replacement policy. These results can be used to reduce the numerical work for determining both optimal burn‐in time and optimal replacement policy. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

Modeling and analysis of a mixed‐model assembly line with stochastic operation times

We consider a mixed‐model assembly line (MMAL) comprised a set of workstations and a conveyor. The workstations are arranged in a serial configuration. The conveyor moves at a constant speed along the workstations. Initial units belonging to different models are successively fed onto the conveyor, and they are moved by the conveyor to pass through the workstations to gradually generate final products. All assembling tasks are manually performed with operation times to be stochastic. An important performance measure of MMALs is overload times that refer to uncompleted operations for operators within their work zones. This paper establishes a method to analyze the expected overload times for MMALs with stochastic operation times. The operation processes of operators form discrete time nonhomogeneous Markov processes with continuous state spaces. For a given daily production schedule, the expected overload times involve in analyzing the Markov processes for finite horizon. Based on some important properties of the performance measure, we propose an efficient approach for calculating the expected overload times. Numerical computations show that the results are very satisfactory. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

Combining standardized time series area and Cramér–von Mises variance estimators

We propose three related estimators for the variance parameter arising from a steady‐state simulation process. All are based on combinations of standardized‐time‐series area and Cramér–von Mises (CvM) estimators. The first is a straightforward linear combination of the area and CvM estimators; the second resembles a Durbin–Watson statistic; and the third is related to a jackknifed version of the first. The main derivations yield analytical expressions for the bias and variance of the new estimators. These results show that the new estimators often perform better than the pure area, pure CvM, and benchmark nonoverlapping and overlapping batch means estimators, especially in terms of variance and mean squared error. We also give exact and Monte Carlo examples illustrating our findings.© 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

基于神经网络的离散变结构控制系统

系统研究了基于神经网络的离散变结构控制系统设计方法,提出了几种具体设计方案.神经网络的引入可以使滑模(变结构)控制具备学习与自适应能力,使控制信号得以柔化,从而能够减轻或避免困扰常规滑模控制器的抖振现象,改善控制效果.