基于启发式算法的可重构性指标分配

串联有约束条件下的可重构性指标分配问题,针对考虑部件故障的系统给出了可重构度的概念和计算方法,并论证了其合理性.结合最优冗余分配理论和可重构度定义给出了可重构度最大化的冗余分配模型,在此基础上提出了基于启发式算法的可重构性指标分配方法,该方法可解决约束条件内资源优化配置问题,并得到系统最大可重构度的解.直接寻查法作为以往具有代表性的最优冗余分配方法,用作系统可重构性指标分配仿真,与所提方法作比较,结果显示基于启发式算法的可重构性指标分配方法较前者有更高的有效性.     

群体多属性决策方法及其应用

针对甄选员工这类群体多属性决策问题,将评价属性划分为主观评价属性和客观评价属性,并且假设方案在主观评价属性下的评价值采用区间数的形式来表示专家评价值的不确定性和模糊性。针对每一主观评价属性设定一组与之对应的专家重要性权重值,反映决策者在不同评价属性中的重要性程度,同时考虑到专家评价值的相似度,将专家评价值进行集结得到专家群体关于方案集的决策矩阵。通过计算各方案与理想方案的相似度,据此对方案进行优劣排序。最后给出该方法在员工甄选决策中的应用实例。     

A novel temperature-compensation method based on correlation analysis for multi-FOG INS

Aimed at improving the bias stability of Fiber-Optic Gyroscope (FOG)-based inertial navigation systems in environments of various ambient temperatures, a novel temperature-compensation method based on a correlation analysis of the same batch of FOGs is proposed. The empirical mode decomposition method was employed to filter the high-frequency noises of the FOGs. Then, the correlation information of the multiple FOGs was used to analyze the feasibility of the method. Eventually, the same residual error of the FOGs was compensated via the simple piecewise linear models. The experimental results indicate that excellent compensation effects for both high- and low-accuracy FOGs are achieved using the proposed method. Specifically, the accuracies of high-accuracy FOGs are improved by approximately 33.9%, 20%, and 31.2%, while those of low-accuracy FOGs are improved by approximately 39.1%, 20.8%, and 26.1%. The method exhibits the merits of simplicity, validity, and stability, and thus is expected to be widely used in engineering applications.     

相关随机序列仿真的一种新方法

相关随机序列是描述随机噪声、杂波和干扰的主要工具,在卫星通信、常规雷达及星载雷达中有着重要应用.本文基于“随机向量抽样法“,提出了一种新的相关随机序列仿真方法.这种方法通过由相关函数抽样序列形成的协方差矩阵控制序列的相关性,适用于仿真具有不同概率密度函数的各种有限长相关的随机序列.仿真结果表明该方法可快速、准确地实现各种相关随机序列的仿真.     

Oblique shock train motion based on schlieren image processing

In this paper, shock train motion in a Mach number 2.7 duct is studied experimentally, and large numbers of schlieren images are obtained by a high-speed camera. An image processing method based on Maximum Correlation Detection (MCD) is proposed to detect shock train motion from the schlieren images, based on which the key structures, e.g., separation positions and separation shock angles on the top and bottom walls, can be analysed in detail. The oscillations of the shock train are generated by rhombus and ellipse shafts at various excitation frequencies. According to the analysis of MCD results, the distributions of the frequency components of shock train oscillation generated by the two shafts are distinctly different, in which the motion generated by the ellipse shaft is much smoother; shock train motion is mainly characterized by the oscillation of separation position while the separation shock strength is not so sensitive to downstream disturbance; there is a hysteresis loop relation between the downstream pressure and separation position.     

Digital twin model of gas turbine and its application in warning of performance fault

The digital twin-driven performance model provides an attractive option for the warn gas-path faults of the gas turbines. However, three technical difficulties need to be solved: (1) low modeling precision caused by individual differences between gas turbines, (2) poor solution efficiency due to excessive iterations, and (3) the false alarm and missing alarm brought by the traditional fixed threshold method. This paper proposes a digital twin model-based early warning method for gas-path faults that breaks through the above obstacles from three aspects. Firstly, a novel performance modeling strategy is proposed to make the simulation effect close to the actual gas turbine by fusing the mechanism model and measurement data. Secondly, the idea of controlling the relative accuracy of model parameters is developed. The introduction of an error module to the existing model can greatly shorten the modeling cycle. The third solution focuses on the early warning based on the digital twin model, which self-learns the alarm threshold of the warning feature of gas-path parameters using the kernel density estimation. The proposed method is utilized to analyze actual measured data of LM2500 +, and the results verify that the new-built digital model has higher accuracy and better efficiency. The comparisons show that the proposed method shows evident superiority in early warning of performance faults for gas turbines over other methods.     

弹载遥测系统模块划分综合分析方法研究

针对系统模块化设计过程中存在的模块划分问题,提出对数据流图进行抽象化建模,得到抽象数据流图,并对抽象数据流图进行规范化定义,描述在抽象数据流图基础上进行模块划分的规则.针对具体的弹载遥测系统问题,利用抽象数据流图和模糊聚类两种方法进行模块划分;然后计算模块之间总耦合度,得到相对统一的模块划分方案;最后通过对系统的分析得...     

考虑弹体柔性振荡的全捷联导引头制导信息提取

随着拦截导弹弹体长细比的增加和直接侧向力的作用，拦截导弹上全捷联导引头量测信息严重受到弹体弹性振荡和控制力矩激励的影响，从而造成导弹制导精度的下降。针对现有惯导安装在弹体质心附近的振荡波腹处无法敏感导引头振荡的不足，提出了一种在导引头安装微机电陀螺器件测量振荡角速率，构造差分观测量的新状态模型，通过交互式多模型的容积卡尔曼滤波算法实现对视线角速度的解耦和精确提取。通过构建导弹六自由度制导与控制仿真模型，采用蒙特卡洛打靶仿真验证了算法的有效性。仿真结果表明模型重构后的滤波算法可以将弹体振荡的均方根误差压缩到0.5°以内并有效跟踪弹目视线角速率。     

一种基于多基线载波相位差测量的欺骗干扰检测方法

由于卫星导航信号到达地面的信号功率较低,且民用部分信息公开,极易受到欺骗干扰信号的影响,从而导致接收机解算出错误的位置、速度或时间.针对传统的欺骗干扰检测与抑制方法不能对欺骗干扰进行测向的问题,提出了一种基于阵列多天线接收信号的载波相位差进行欺骗信号检测与抑制的方法.该方法能够在缺少先验知识的条件下,借鉴相关干涉仪测向...