原油标准体积管结蜡造成的后果及解决方法

探讨了原油动态计量中标准体积管结蜡所引起的误差、原因分析和经济损失,提出了解决问题的办法。     

二连盆地气测解释失误层原因剖析

以往人们对气测解释评价成功的范例介绍较多,而对解释结论与试油结果不符合的层公开交流甚少。该文通过对气测解释失误层进行梳理,归纳了六条“认识不到位”等技术因素造成的解释失误和三条非技术因素造成的偏高解释,通过六个失败实例分析,总结、反思应吸取的教训,对今后的油气水层解释评价应有一定的借鉴意义。     

多道脉冲幅度分析器改进研究

分析了多道脉冲幅度分析器忙时间的形成特点,设计出来一套能减小系统忙时间的方案,从而大大地减少由于忙时间造成的脉冲漏计数。同时分析了改进后系统和实际测量时存在误差的主要因素;该方案具有实现有成本小,方便灵活等优点。     

基于数据预测的手机总全向灵敏度(TIS)的快速测试

手机总全向灵敏度（TIS）是OTA测试的重要指标之一。而基于CTIA的步进测试法,测试非常耗时。本文在深入研究基站发射功率和误码率关系的基础上,得出具有一定通用性的拟合函数,进而提出了一种基于数据预测的TIS测试方法。通过编写相应自动测试软件,实现快速测试。该法将大大提高测试效率,有很高的应用和推广价值。     

经纬仪红外基准点误差修正及分析

经纬仪的红外测量数据含有基准点误差,在数据处理中,该误差对目标定位精度的影响往往被忽视.文中提取了经纬仪摄影轴之间的几何关系,由几何示意图推导了误差修正公式,分析了基准点误差问题.仿真结果表明,基准点误差严重影响目标定位精度,在红外数据处理中必须予以修正.     

多综合点误差模型及其稳定性充分条件的一个猜想

提出多综合点误差模型及其孤立部分传递函数的概念,得到了所有孤立部分传递函数都正实的充分必要条件,以此为基础,给出了关于系统稳定性充分条件的一个猜想,并证明了猜想的一些推论.本文内容可以在参数辨识、自适应控制、状态自适应观测和神经网络稳定性分析等问题中得到应用.     

COMPLEXITY AND ERROR IN SOCIAL DYNAMICS

A model of cultural dynamics based on the work of Colin Renfrew is briefly described. It is shown how the general concepts of complexity and error pertain to this kind of cultural model. In particular, it is suggested that conflict in cultural contexts arises through the generation of diverse simple models of the culture, created by different members of the culture. We indicate how general system-theoretic concepts can thus be brought to bear on problems of conflict in and between cultures.     

基于特征点识别的位姿测量数据处理方法研究

视觉测量具有结构简单、成本低、非接触式测量的优点,利用视觉位姿测量结果对空间展开机构进行定位具有良好的应用前景.实际应用中需要将视觉测量数据转换到物空间坐标系从而对定位系统的控制量提供指导.针对相机外参数标定操作繁琐、需要额外设备、不利于在轨实现等缺点,提出了一种利用运动样本空间构建坐标系转换关系的数据处理方法,根据取样空间内构建的补偿方程,可以将各自由度的视觉测量数据转换到控制器坐标系上,同时能够校正由于安装、配准等导致的系统误差,从而实现高精度的空间 目标定位.实验结果表明,在1.7 m的测量距离下,所搭建单相机测量系统的位置与转角测量精度可达0.02 mm和0.003°,验证了所研究方法的有效性和实用性.     

Optimal and self‐tuning weighted measurement fusion Kalman filters and their asymptotic global optimality

For the multisensor linear discrete time‐invariant stochastic systems with unknown noise variances, using the correlation method, the information fusion noise variance estimators with consistency are given by taking the average of the local noise variance estimators. Substituting them into two optimal weighted measurement fusion steady‐state Kalman filters, two new self‐tuning weighted measurement fusion Kalman filters with a self‐tuning Riccati equation are presented. By the dynamic variance error system analysis (DVESA) method, it is rigorously proved that the self‐tuning Riccati equation converges to the steady‐state optimal Riccati equation. Further, by the dynamic error system analysis (DESA) method, it is proved that the steady‐state optimal and self‐tuning Kalman fusers converge to the global optimal centralized Kalman fuser, so that they have the asymptotic global optimality. Compared with the centralized Kalman fuser, they can significantly reduce the computational burden. A simulation example for the target tracking systems shows their effectiveness. Copyright © 2010 John Wiley & Sons, Ltd.     

Quantification of human error in maintenance using graph theory and matrix approach

Assessment of human error in maintenance requires identification of the contributing factors that lead to human error(s). These factors are called human error inducing factors (HEIFs), which take into consideration both the active and latent error contributing aspects related to man, machine and environment. A systems approach of the Graph Theory is applied in this paper for quantifying human error in maintenance activities that models the identified factors and their interactions/interrelationships in terms of human error digraph. The nodes in the digraph represent the HEIFs and the edges represent their interrelationships. The digraph is converted into an equivalent matrix and an expression based on this is developed, which is characteristic of the human error in maintenance. This expression is used to evaluate a human error index by substituting the numerical value of the factors and their interrelations. The index is a measure of the human error potential involved in the maintenance of systems. A higher value of index indicates that the error likelihood is more for the associated tasks, and more efforts are required to make the system less prone to human error. The proposed methodology is illustrated using a case study. The approach is anticipated to play a significant role in identifying sources of human errors and predicting their impact; and will help to integrate human factors during design stage with the objective of reducing human error in maintenance. Copyright © 2011 John Wiley & Sons, Ltd.