MBDS的一种实现方法

给出一种基于模型故障诊断的实现方案——MCIES,着重介绍MCTES所采用的建模方法和推理策略,最后介绍该系统各组成模块的功能。     

具有热阻、热漏和内部耗散的联合制冷机性能

建立一类存在热阻、热漏和内部耗散的定常态流联合制冷机循环模型,并研究其性能优化,导出制冷系数、制冷率基本优化关系和最大制冷系数及其相应的制冷率．给出了传热面积的最佳值和工质最佳工作温度．所得结果适用于由任意个制冷机串接而成的联合制冷循环．     

舰载武器系统安全射界设计方法初探

安全射界是保证舰艇安全和作战需要的重要参数,它直接影响武器使用的安全、效能的发挥和使命任务的完成．该文首先研究了安全射界的计算原理,接着运用系统工程方法讨论了安全射界与舰载武器系统效能的关系,最后根据使命任务研究了武器在射界设计时的优先等级．     

三热源热泵有限时间经济性能优化

本文用有限时间热力学与经济优化相结合的方法,导出ｑ∝△（Ｔ）和ｑ∝△（Ｔ－１）两种传热规律下,三热源热泵的最佳利润率、供热系数关系,得到最大利润率时的供热系数界限。     

人工智能在火控系统中的应用

研究了空战时的决策问题,并对人工智能技术用于空战中机动目标的战术机动决策模拟做了尝试,讨论了计算机控制机动目标的战术机动决策逻辑的设计方法,同时也进行了数字仿真。     

科研选题重复因素的分析与对策初探

科研选题中,周期短、见效快的课题重复率较高,其原因与科技人员晋级需求,社会集团易对“短、平、快”选题投资,科研管理人员的情报意识淡漠等因素有关。改变现状需要科技政策的制定者对基础科学研究和从事基础科学研究的人员给予更多的重视和政策的倾斜。科研管理部门应把握科研方向、人才培养、选题调整及发挥专家对审题的充分论证。采取各项综合措施,可望降低科研选题的重复。     

一种实用的计算热膨胀系数的递推方法

本文从热膨胀系数α、比热C_v 及体积弹性模量K 所满足的热力学关系出发,提出了一种简单实用的递推方法计算热膨胀系数,用此方法可以相当准确地计算固体热膨胀系数作为温度函数的整个曲线。文中以三种碱卤晶体为例计算了室温以下的热膨胀系数,与实验结果符合得非常好。     

The (s,Q) inventory model with Erlang lead time and deterministic demand

We develop a simple, approximately optimal solution to a model with Erlang lead time and deterministic demand. The method is robust to misspecification of the lead time and has good accuracy. We compare our approximate solution to the optimal for the case where we have prior information on the lead‐time distribution, and another where we have no information, except for computer‐generated sample data. It turns out that our solution is as easy as the EOQ's, with an accuracy rate of 99.41% when prior information on the lead‐time distribution is available and 97.54–99.09% when only computer‐generated sample information is available. Apart from supplying the inventory practitioner with an easy heuristic, we gain insights into the efficacy of stochastic lead time models and how these could be used to find the cost and a near‐optimal policy for the general model, where both demand rate and lead time are stochastic. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004     

Robust cubature Kalman filter method for the nonlinear alignment of SINS

Nonlinear initial alignment is a significant research topic for strapdown inertial navigation system(SINS).Cubature Kalman filter(CKF)is a popular tool for nonlinear initial alignment.Standard CKF assumes that the statics of the observation noise are pre-given before the filtering process.Therefore,any unpredicted outliers in observation noise will decrease the stability of the filter.In view of this problem,improved CKF method with robustness is proposed.Multiple fading factors are introduced to rescale the obser-vation noise covariance.Then the update stage of the filter can be autonomously tuned,and if there are outliers exist in the observations,the update should be less weighted.Under the Gaussian assumption of KF,the Mahalanobis distance of the innovation vector is supposed to be Chi-square distributed.Therefore a judging index based on Chi-square test is designed to detect the noise outliers,determining whether the fading tune are required.The proposed method is applied in the nonlinear alignment of SINS,and vehicle experiment proves the effective of the proposed method.     

车辆液力机械传动系统建模及动态特性仿真

建立了具有液力传动的履带车辆动力传动系统及整车的仿真模型,对车辆的加速性进行了仿真研究并与试验结果进行了比较,应用该仿真模型,分析了履带车辆换挡过程中发动机与涡轮转速、系统元件转速等的变化规律,结果表明该仿真模型能够方便的应用于车辆的性能分析与预测.