车辙图像频域分析及星球车车轮滑转率估计方法

在月面环境下车轮滑转影响月球车的运动性能和定位精度,针对星球车车轮滑转率检测问题,提出一种基于车辙图像频域特征的滑转率估计方法。通过分析车轮与土壤相互作用过程与车辙形成机理,建立车辙的时域参数化解析模型。并在车辙构造时域解析模型基础上,通过对车辙图像进行频域分析,建立了基于车辙图像基频特征的车轮滑转率估计模型。此外,介绍了一种适用于该方法的车辙频域特征提取和图像处理技术。通过试验证明,该方法只需检测车辙图像基频便可以实现车轮滑转率非接触式精确估计。采用本方法估计车轮滑转率,相对精度可达3%。     

钢筋砼柱在随机荷载下的可靠性分析

本文利用可靠度理论的概率公式，并在结构失效概率计算技术的基础上，探讨了承受多种连续可变作用荷载过程的钢筋混凝土桩失效概率的计算技术，其具体方法是采用分段连续线性化极限状态方程，对非线性问题进行简化，这种方法可减少砼结构非线性分析的计算工作。     

底部排气弹减阻特性的合理设计

本文提出了底部排气弹减阻特性设计的一般原则与方法。给出了达到最优弹道性能设计的方法与约束条件。该方法对底排减阻特性研究与底部排气弹设计有较大的理论与实用价值。     

用于随机到达脉冲干扰的CFAR积累处理机

人们常使用时间分集传输来防止可能造成信号损失的单传输高概率的强衰落。阻止强衰落的一个进对来自各距离分辩单元的接收观测值进行检测后积累。检测后顺（ＰＩ）的虚警率对随机到达的脉冲干扰非常敏感。这种干扰脉冲可能是相邻雷达无意造成的或者是试图破坏雷达碜风 脉冲干扰同极意造的。     

纵向平板热导率测量装置

纵向平板热导率测量装置由主体、控温、测温等部分组成，根据付立叶定律只要测出通过截面积在单位时间内发出的热量、试样厚度、试样两侧温差及热板计量面积就可推导出被测试样的热导率λ，完成３０～１５０℃的温度测量，通过实际测试，证明其结果比较理想。     

Testability evaluation using prior information of multiple sources

Testability plays an important role in improving the readiness and decreasing the lifecycle cost of equipment. Testability demonstration and evaluation is of significance in measuring such testability indexes as fault detection rate（FDR） and fault isolation rate（FIR）, which is useful to the producer in mastering the testability level and improving the testability design, and helpful to the consumer in making purchase decisions. Aiming at the problems with a small sample of testability demonstration test data（TDTD） such as low evaluation confidence and inaccurate result, a testability evaluation method is proposed based on the prior information of multiple sources and Bayes theory. Firstly, the types of prior information are analyzed. The maximum entropy method is applied to the prior information with the mean and interval estimate forms on the testability index to obtain the parameters of prior probability density function（PDF）, and the empirical Bayesian method is used to get the parameters for the prior information with a success-fail form. Then, a parametrical data consistency check method is used to check the compatibility between all the sources of prior information and TDTD. For the prior information to pass the check, the prior credibility is calculated. A mixed prior distribution is formed based on the prior PDFs and the corresponding credibility. The Bayesian posterior distribution model is acquired with the mixed prior distribution and TDTD, based on which the point and interval estimates are calculated.Finally, examples of a flying control system are used to verify the proposed method. The results show that the proposed method is feasible and effective.