考虑参数随机分布特性的碰摩转子动力学与可靠性

对改进型Jeffcott转子/定子系统,考虑其参数随机分布特性的影响,将稳定性分析与可靠性分析相结合,推导了碰摩转子的可靠度计算公式并使用FORM(1阶可能性方法)和CMC(Crude-Monte-Carlo)法计算其可靠度进而确定了可靠度要求为0.95时的碰摩问题边界.在分析各参数对转子稳态响应、安全域边界以及参数灵敏度影响的基础上,就一般的转子/定子系统碰摩问题给出了在摩擦因数、转速和间隙三参数下的解空间,即求出工程中对应可靠度要求的安全域与失效域.     

微型导弹蒙特卡洛打靶仿真研究

导弹在实际作战飞行中,由于环境因素和系统误差的影响,其姿态和弹道的参数与理想弹道的参数存在偏差.对一种微型导弹在飞行中受到的多种随机干扰因素进行分析,给出了各种干扰因素的处理方法,建立了导弹六自由度弹道蒙特卡洛打靶仿真模型.通过蒙特卡洛计算机打靶仿真,对导弹的命中精度进行研究,验证了仿真模型的准确性和仿真方法的有效性.     

光纤陀螺随机振动条件下输出信号的相关检测

对光纤陀螺振中输出信号进行频谱分析,发现在某些频率点下幅值很大,造成振动过程中陀螺存在较大的振中零偏漂移。本文提出了采用相关检测技术对误差信号进行分析的方法,理论仿真表明相关检测可提取噪声中隐含的周期性信号,研究发现了陀螺机械封装及工装固定是产生上述试验现象的主要影响因素,提出了相应的改进方案并进行了试验验证。试验证明理论分析正确,改进方案使陀螺振中零偏漂移降低了一个数量级。     

传感器位置误差条件下的约束总体最小二乘时差定位算法

 现代定位系统中,传感器往往被安放在运动平台上,其位置无法精确得知,存在估计误差,将严重影响对目标的定位精度。针对这一问题,提出基于约束总体最小二乘(CTLS)的到达时差(TDOA)定位算法。首先通过引入中间变量,将非线性TDOA定位方程转化为伪线性方程,再利用CTLS技术,全面考虑伪线性方程所有系数中的噪声。在此基础上推导了定位方程的目标函数,再根据牛顿迭代方法,进行数值迭代,快速得到精确解。采用一阶小噪声扰动分析方法,对该算法的理论性能进行了分析,证明了算法的无偏性和逼近克拉美-罗下限(CRLB)。仿真实验表明,该算法克服了现有总体最小二乘(TLS)算法不能达到CRLB、两步加权最小二乘(two-step WLS)算法在较高噪声时性能发散的缺陷,在较高噪声时定位精度仍然能达到CRLB。     

交流对机组失误的影响

分析了团队失误产生的一般过程，发现加强交流管理可以有效改善团队工作的整个过程，从而降低人为失误的发生．指出造成机组交流缺陷的多种原因．给出实际可行的交流方法以减少机组失误的产生。     

Variational Bayesian labeled multi-Bernoulli filter with unknown sensor noise statistics

It is difficult to build accurate model for measurement noise covariance in complex back-grounds. For the scenarios of unknown sensor noise variances, an adaptive multi-target tracking algorithm based on labeled random finite set and variational Bayesian (VB) approximation is pro-posed. The variational approximation technique is introduced to the labeled multi-Bernoulli (LMB) filter to jointly estimate the states of targets and sensor noise variances. Simulation results show that the proposed method can give unbiased estimation of cardinality and has better performance than the VB probability hypothesis density (VB-PHD) filter and the VB cardinality balanced multi-target multi-Bernoulli (VB-CBMeMBer) filter in harsh situations. The simulations also confirm the robustness of the proposed method against the time-varying noise variances. The computational complexity of proposed method is higher than the VB-PHD and VB-CBMeMBer in extreme cases, while the mean execution times of the three methods are close when targets are well separated.     

Joint calibration algorithm for gain-phase and mutual coupling errors in uniform linear array

The effect of gain-phase perturbations and mutual coupling significantly degrades the performance of digital array radar (DAR). This paper investigates array calibration problems in the scenario where the true locations of auxiliary sources deviate from nominal values but the angle intervals are known. A practical algorithm is proposed to jointly calibrate gain-phase errors and mutual coupling errors. Firstly, a simplified model of the distortion matrix is developed based on its special structure in uniform linear array (ULA). Then the model is employed to derive the precise locations of the auxiliary sources by one-dimension search. Finally, the least-squares estimation of the distortion matrix is obtained. The algorithm has the potential of achieving considerable improvement in calibration accuracy due to the reduction of unknown parameters. In addition, the algorithm is feasible for practical applications, since it requires only one auxiliary source with the help of rotation platforms. Simulation results demonstrate the validity, robustness and high per-formance of the proposed algorithm. Experiments were carried out using an S-band DAR test-bed. The results of measured data show that the proposed algorithm is practical and effective in appli-cation.     

基于灰关联熵的航空维修差错致因量化分析

航空维修差错是诱发航空事故的重要原因.为有效实施维修差错的预防与控制,依据维修差错咨询通告(AC-121-007),运用专家调查(Delphi)法结合SHELL模型从人、硬件、软件和环境4方面构建维修差错诱因指标体系,采用灰关联熵理论量化分析诱发航空维修差错的关键因素.结果表明,计划与监督、维修环境、身心因素、信息沟通、职业素养等为导致维修人为差错的关键因素.鉴于以上维修差错致因,有针对性提出维修差错防控措施,从而实现降低差错风险的目的.     

基于3DES算法的SRAM工艺FPGA加密设计

本文提出了一种基于3DES算法的SRAM工艺FPGA加密设计方法,并详细描述了3DES加密算法的模型以及其硬件设计过程,最后给出3DES加密算法的硬件实现仿真时序图以及在FPGA中的实现结果.     

基于条件随机场的中文组织机构名识别研究

中文机构名自动识别是自然语言处理的一个难点,提出一种基于条件随机场的字词模型相结合的识别组织机构名的方法.该方法针对机构名的特点并利用知网进行两方面的特征选择.在开放测试中,字模型和词模型的F-值分别为91.51%和91.09%,两者进行互补结合之后F-值分别为92.37%和92.06%,说明字词模型结果具有互补差异性,相结合可以取得比单一模型更好的结果.