多变量系统辨识在电加热炉系统中的研究

介绍多变量系统辨识在电加热炉系统中的应用。在确定合适的采样周期和输入信号后，获得了可供辨识的输入输出数据，并利用Guidorzi法离线辨识出模型的结构。为了克服有色噪声的影响，在辨识过程中用Ⅳ（Instrumental Variable)法估计出模型的参数。通过对残差的白性检验，验证了所建立模型的可靠性。最后，对Ⅳ法和RLS（Recursive Least Square)不的辨识精度进行了比较。     

人工神经元网络在系统辨识中的应用

本文将人工神经元网络的非线性性和信息的分布性用于非线性静态模型的辨识.对化 工生产中的缩聚反应过程的辨识结果表明,用人工神经元网络来辨识非线性静态模型是可行 的,从而为系统辨识提供了一条新的途径.     

电子认证与授权管理标准体系研究

以国际上在标识、鉴别与授权标准方面已有的工作为基础，提出了我国电子认证与授权管理标准体系框架。     

Boundary knot method for 2D and 3D Helmholtz and convection–diffusion problems under complicated geometry

The boundary knot method (BKM) of very recent origin is an inherently meshless, integration‐free, boundary‐type, radial basis function collocation technique for the numerical discretization of general partial differential equation systems. Unlike the method of fundamental solutions, the use of non‐singular general solution in the BKM avoids the unnecessary requirement of constructing a controversial artificial boundary outside the physical domain. The purpose of this paper is to extend the BKM to solve 2D Helmholtz and convection–diffusion problems under rather complicated irregular geometry. The method is also first applied to 3D problems. Numerical experiments validate that the BKM can produce highly accurate solutions using a relatively small number of knots. For inhomogeneous cases, some inner knots are found necessary to guarantee accuracy and stability. The stability and convergence of the BKM are numerically illustrated and the completeness issue is also discussed. Copyright © 2003 John Wiley & Sons, Ltd.     

塔里木盆地塔中地区火成岩体识别与预测技术

塔里木盆地塔中地区火成岩发育,纵向上从二叠系至前震旦系主要发育有4期,严重地影响了该区构造圈闭落实的可靠性以及油气藏后期的保存条件,也是塔中18、21、22等井钻探失败的主要原因。为降低钻探风险,在该区进行了火成岩体识别与预测技术攻关,总结出了7种方法,它们的相互配合,可以较为有效地预测火成岩分布以及火成岩对下伏构造的影响,指导该区勘探;通过中1井的钻探,已经取得了较好的效果。      

恒运电厂5号机抽汽供热改造

介绍半高压单缸凝汽式汽轮机改造为抽汽拱热式组的设计思路及施工改造过程，对改造中出现的新问题进行了分析并提出解决办法，改造后，机组抽气直接供给热网，社会效益和经济效益明显。     

Temperature Oscillation Calorimetry: Robustness analysis of different algorithms for the evaluation of the heat transfer coefficient

Applicability of different temperature oscillation calorimetry algorithms, previously proposed in the literature, for the evaluation of the heat transfer coefficient during the course of the reaction, is analysed by referring to the experimental data from a methyl methacrylate polymerisation reactor.Results are coincident in the nominal case (no errors on data), while differences appear in the elaboration of real data. The effect of uncertainty in the experimental data has been simulated in terms of error on the amplitude and on the phase of reactor and jacket temperature profiles.This approach allows to indicate algorithms having the best robustness properties and to give an explanation of phase errors in terms of a lumped parameter which accounts for different phenomena, not included in the basic hypotheses of the method. Based on this observation, a procedure to eliminate this source of errors from experimental data is proposed for the more general algorithm presented to handle oscillating temperature profiles generated by different techniques.     

红宝石和蓝宝石的基本特征与鉴别

较详细论述了世界上四大珍贵宝石中红宝石和蓝宝石．讨论了它们的主要特性、品种、工艺要求及主要鉴别方法．     

储层识别模式的研究

用数学方法建立气测井油气储层识别模式,以解决录井中实时软件在判别依据少的条件下,及时识别油气显示假异常的难题。该判别式经实用,正到率达90％。     

二烷基硫代磷酸铵的捕收性能

本文研究了二烷基硫代磷酸铵（ＲＯ）２ＰＳＯＮＨ４（Ｒ＝乙基、丁基、己基、烯丙烯）系列捕收剂对非硫化矿孔雀石、锡石、赤铁矿、白铅矿、方解石和菱锌矿的浮选性能，并就药剂结构与性能关系进行了分析讨论．