软件可靠性的过程仿真技术

以软件研制的生命周期为背景,探讨利用仿真模型对软件可靠性进行研究的方法．文章阐述了仿真模型分析方法与传统的模型分析方法的不同之处,通过对软件可靠性过程的分析,设计了一个基本的仿真器结构,由此考察引发失效行为的各种故障因素及其对软件可靠性的影响．     

机械原理教学过程优化的研究

教学过程是一个复杂多变的过程,受各种因素的制约,只有以系统优化为基本原理去组织教学活动,才能全面提高教学质量。本文针对《机械原理》课的性质、特点及教学中面临的复杂情况,从几个方面讨论了教学过程优化的思路和方法。     

利用层次分析法冗余性进行群体决策

指出层次分析法的冗余性,提出利用层次分析法的冗余性直接进行群体决策,检查群体意见一致程度的方法。     

层次分析法中一致性检验的一种调整方法

针对层次分析法中一致性检验难以通过的问题,提出了一种优化调整方法,并分析了该方法的基本思路及可行性。为方便上机编程,还给出了该方法的具体实现步骤。     

目标的规避过程与搜索运动

应用随机过程的观点,研究了静态目标和动态目标的几种规避方式、运动规律和目标位置的概率分布,导出了在上述几种情况下对规避目标的最优（理论）搜索计划。     

图象跟踪算法分析

对自适应分析质心跟踪算法、相关跟踪算法和倒谱法等几种典型的跟踪算法作了介绍,提出了计算量较少、精度较高的相移算法。最后,对这些算法作了分析比较。     

应用威布尔过程模型统计分析中的几个问题

对威布尔过程应用中的若干问题作了进一步探讨:如威布尔过程与威布尔分布;具有切断的故障数据处理;威布尔过程的拟合优度检验;可修系统可靠性评估参数;多个同型系统参数一致性检验等.     

基于熵的空中目标识别模型及应用

空中目标识别是现代防空作战的重要研究内容。研究根据不同类型的目标产生不同的辐射和不同的雷达回波信号对目标进行识别。提出利用熵理论来处理目标识别问题,采用层次分析法与熵权的组合来确定指标的权重。仿真实例表明,基于熵的识别是一种运算简单,结果可靠的目标识别算法。     

Directional change‐point detection for process control with multivariate categorical data

Most modern processes involve multiple quality characteristics that are all measured on attribute levels, and their overall quality is determined by these characteristics simultaneously. The characteristic factors usually correlate with each other, making multivariate categorical control techniques a must. We study Phase I analysis of multivariate categorical processes (MCPs) to identify the presence of change‐points in the reference dataset. A directional change‐point detection method based on log‐linear models is proposed. The method exploits directional shift information and integrates MCPs into the unified framework of multivariate binomial and multivariate multinomial distributions. A diagnostic scheme for identifying the change‐point location and the shift direction is also suggested. Numerical simulations are conducted to demonstrate the detection effectiveness and the diagnostic accuracy.© 2013 Wiley Periodicals, Inc. Naval Research Logistics, 2013     

Analysis of the finite‐source multiclass priority queue with an unreliable server and setup time

In this article, we study a queueing system serving multiple classes of customers. Each class has a finite‐calling population. The customers are served according to the preemptive‐resume priority policy. We assume general distributions for the service times. For each priority class, we derive the steady‐state system size distributions at departure/arrival and arbitrary time epochs. We introduce the residual augmented process completion times conditioned on the number of customers in the system to obtain the system time distribution. We then extend the model by assuming that the server is subject to operation‐independent failures upon which a repair process with random duration starts immediately. We also demonstrate how setup times, which may be required before resuming interrupted service or picking up a new customer, can be incorporated in the model. © 2013 Wiley Periodicals, Inc. Naval Research Logistics, 2013