野战环境下弹药贮存寿命评估

简述了进行弹药野战环境贮存可靠性试验的试验场地、试验样本量确定方法和试验结果,分析探讨了弹药野战环境贮存可靠性试验数据处理方法,给出了在一定置信度下弹药贮存寿命。     

一种胆碱酯酶贮存寿命的预测方法

用差热分析 (DTA)和等温加速老化法 ,测定了用生物化学方法检测有机磷、氨基甲酸酯类农药或毒剂的试剂———胆碱酯酶的贮存寿命。获得了所测定的该种胆碱酯酶的贮存寿命与贮存温度之间的关系式。这种测定方法简便快捷、实用可靠。     

恒加试验的最优线性不变估计

给出了恒加试验的最优线性无偏估计与最优线性不变估计。与有关文献给出的二步估计相比,这两个估计有较大改进,并且在计算上简单可行。     

恒加试验下Pareto部件的可靠性分析

基于定数截尾试验,研究恒加试验下Pareto部件的可靠性分析问题。利用经典方法和Bayes方法,给出了部件参数的极大似然估计、Bayes估计和逆矩估计。验证了极大似然估计和Bayes估计的等价性。结合加速寿命方程,推导出Pareto部件的可靠度、失效率的估计值。最后,通过仿真比较与分析,建立了Pareto部件的可靠性评估方法。     

履带销磨损寿命预测仿真

履带销是自行火炮推进装置中重要的传力元件。针对履带销磨损的情况建立了接触应力模型,谱块磨损量模型和磨损阈值模型,并对履带销的磨损寿命进行仿真预测。结果表明,仿真结果与实际情况符合。     

生物学教学与创新性思维培养

本文论述了在生物学教学中引入生命科学史和生命科学学说理论并施以创新思维教学,能够培养学生的创新能力,提高学生的综合素质的方法。     

某新型榴弹引信加速寿命试验设计

通过对影响某新型榴弹引信长储失效的主要环境因素（温度和湿度）分析,得出其寿命服从威布尔分布,双环境应力下满足阿伦尼斯模型。用恒定应力加速寿命试验方法计算出双环境应力下威布尔分布的过渡参数、形状参数、尺寸参数等值,从而估算出某新型榴弹引信长储失效规律。     

Weibull 分布场合下恒定应力加速寿命试验的保序估计

讨论了Ｗｅｉｂｕｌ场合下恒定应力加速寿命试验的最优线性无偏估计及保序估计,获得了保序估计的表示式,并给出了一个模拟例子．     

The human consequences of foreign military intervention

The empirical international conflict literature has given much recent attention to interstate armed force’s impact on human well-being. While empirical research has advanced our understanding of the phenomenon considerably, we argue that one conclusion that many studies have reached is preliminary. Some recent research contends that only full-scale war, and not force short of war, has a discernable impact on human welfare or physical quality of life (PQOL). We develop theory on one type of force short of war, large-scale foreign military intervention (FMI), and its potential effects on PQOL. Using interrupted time series and panel corrected standard error methodologies, we find that from 1960 to 2005 large-scale FMI had a statistically and substantively significant impact on the PQOL of populations in 106 developing countries. The specific effect that this type of armed force has depended in large part on the regime type of the target country.     

Stochastic framework for partially degradation systems with continuous component degradation‐rate‐interactions

Many conventional models that characterize the reliability of multicomponent systems are developed on the premise that for a given system, the failures of its components are independent. Although this facilitates mathematical tractability, it may constitute a significant departure from what really takes place. In many real‐world applications, system components exhibit various degrees of interdependencies, which present significant challenges in predicting degradation performance and the remaining lifetimes of the individual components as well as the system at large. We focus on modeling the performance of interdependent components of networked systems that exhibit interactive degradation processes. Specifically, we focus on how the performance level of one component affects the degradation rates of other dependent components. This is achieved by using stochastic models to characterize how degradation‐based sensor signals associated with the components evolve over time. We consider “Continuous‐Type” component interactions that occur continuously over time. This type of degradation interaction exists in many applications, in which interdependencies occur on a continuum. We use a system of stochastic differential equations to capture such “Continuous‐Type” interaction. In addition, we utilize a Bayesian approach to update the proposed model using real‐time sensor signals observed in the field and provide more accurate estimation of component residual lifetimes. © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 286–303, 2014