UKF在MEMS陀螺随机噪声补偿的应用

论述了MEMS陀螺静态随机噪声与动态随机噪声的特点;系统分析了无迹卡尔曼滤波(UKF)的特点,将UKF用于MEMS陀螺随机噪声估计;针对MEMS陀螺静态噪声与动态噪声补偿用同一方法处理达不到一定性能的难题,提出了一种由阈值决策静态和动态滤波的工程方法;指出将时间序列用于建立随机噪声的数学模型的缺陷,指出欧美等使用的MEMS陀螺随机噪声补偿的优点与缺点.     

某型铜材料动态力学性能的数值模拟研究

采用一种高效的应力更新算法,运用Fortran语言编写Johnson—Cook本构模型的Vuamt子程序,模拟材料在高速冲击工况下的动态力学性能,研究塑性大应变、高应变率以及温度软化作用对材料力学性能的影响。     

Wiener过程的金属化膜脉冲电容器步降应力退化建模

由于强激光装置中金属化膜脉冲电容器高可靠长寿命的特点,导致退化试验的时间长效率低,传统的退化试验统计分析方法复杂,对先验信息依赖性大,针对这些问题提出了基于Wiener过程的金属化膜脉冲电容器步降应力加速退化建模和参数估计的方法。首先,用Wiener过程刻画电容器的退化过程,然后结合随机过程的特性采用MCMC方法进行参数估计,大大简化了统计分析过程。最后通过对电容器的仿真实验,将步降应力下的评估结果与恒定应力、步进应力的情况相对比,说明了步降应力对改善退化试验的试验效率的有效性。     

团体心理干预对改善维和警察培训学员心理应对能力的效果研究

良好的心理应对能力是维和警察有效遂行维和任务的心理保障。为探讨团体心理干预对维和警察心理应对能力的改善效果,对32名维和警察培训学员分成实验组和控制组进行干预实验。经干预,实验组成员身心状况、应对方式、社会支持有明显改善,自尊状况亦有显著变化。说明团体心理干预对改善培训学员综合心理健康状况、增强其心理应对能力有一定效果。     

剪刀撑水泥砂浆网薄层加固砌体墙体拟静力试验

主拉应力破坏是砌体结构在地震荷载作用下最常见的一种破坏形式,剪刀撑水泥砂浆网薄层加固法就是针对砌体结构抵抗主拉应力不足的一种加固方法。为了考察该方法加固砌体墙体的受力性能及加固效果,对6片砂浆强度不同、加固方法不同的墙体试件进行了拟静力试验。试验结果表明：剪刀撑水泥砂浆网薄层加固法能够明显提高砌体墙体的抗剪承载力;该方法更适合于加固砂浆强度较低的砌体墙体;采用该方法加固后的砌体墙体破坏形式以剪切滑移破坏为主;加固面层能够与原有墙体较好地共同工作。目前剪刀撑水泥砂浆网薄层加固法是一个崭新的课题,该拟静力试验给出的试验分析结果和建议可供相关研究和加固工程设计参考。     

一种基于随机波形分段相位编码调制的反侦察技术

为了提高雷达的隐蔽性能,降低被截获的概率,通常有很多种手段。在波形设计上,常见的是采用低截获概率(LPI)雷达信号,但常规的LPI信号仍然是有规律的信号,提出了一种基于随机波形分段相位编码调制的技术,使得脉冲的波形具有噪声特征,有较强的伪装效果,从而大大降低截获概率,仿真表明,这种设计技术具有良好的性能。     

某越野火箭炮行驶垂向动态特性研究

以某型高机动越野火箭炮为研究对象,基于随机路面激励,应用多刚体系统动力学和柔性多体动力学的理论,建立该越野火箭炮刚柔耦合模型,研究其行驶垂向动力学特性。考虑了油气弹簧的非线性特性以及轮胎的作用,重点编写了B、C、D级路面的随机路面谱,进行不同车速下的行驶动力学仿真。结果表明,非线性的油气悬架系统能较好地减轻路面的垂向冲击。仿真得到的车炮动态响应特性曲线,为该高机动火箭炮的研制提供了有用的参考。     

含内置式耐压液舱舱段耐压船体结构应力分析

为研究静压下内置式耐压液舱结构的力学规律,采用有限元方法对内置式耐压液舱及船体结构进行强度计算,分析了不同工况下耐压壳的变形和应力特征,比较了不同区域耐压壳的应力情况。结果表明:液舱内外相连通时的工况更危险,耐压壳应力水平也更高。同时,内置式耐压液舱的存在使液舱底部耐压壳的应力水平高于耐压壳其他区域。该研究结果可为内置式耐压液舱结构设计提供指导。     

Optimal replacement of continuously degrading systems in partially observed environments

Motivated by wind energy applications, we consider the problem of optimally replacing a stochastically degrading component that resides and operates in a partially observable environment. The component's rate of degradation is modulated by the stochastic environment process, and the component fails when it is accumulated degradation first reaches a fixed threshold. Assuming periodic inspection of the component, the objective is to minimize the long‐run average cost per unit time of performing preventive and reactive replacements for two distinct cases. The first case examines instantaneous replacements and fixed costs, while the second considers time‐consuming replacements and revenue losses accrued during periods of unavailability. Formulated and solved are mixed state space, partially observable Markov decision process models, both of which reveal the optimality of environment‐dependent threshold policies with respect to the component's cumulative degradation level. Additionally, it is shown that for each degradation value, a threshold policy with respect to the environment belief state is optimal if the environment alternates between two states. The threshold policies are illustrated by way of numerical examples using both synthetic and real wind turbine data. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 395–415, 2015     

Progressive Type‐II censoring and coherent systems

A new connection between the distribution of component failure times of a coherent system and (adaptive) progressively Type‐II censored order statistics is established. Utilizing this property, we develop inferential procedures when the data is given by all component failures until system failure in two scenarios: In the case of complete information, we assume that the failed component is also observed whereas in the case of incomplete information, we have only information about the failure times but not about the components which have failed. In the first setting, we show that inferential methods for adaptive progressively Type‐II censored data can directly be applied to the problem. For incomplete information, we face the problem that the corresponding censoring plan is not observed and that the available inferential procedures depend on the knowledge of the used censoring plan. To get estimates for distributional parameters, we propose maximum likelihood estimators which can be obtained by solving the likelihood equations directly or via an Expectation‐Maximization‐algorithm type procedure. For an exponential distribution, we discuss also a linear estimator to estimate the mean. Moreover, we establish exact distributions for some estimators in the exponential case which can be used, for example, to construct exact confidence intervals. The results are illustrated by a five component bridge system. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 512–530, 2015