An information-theoretic methodology for the resolution of pure component spectra without prior information using spectroscopic measurements

The resolution of pure component spectra based on spectroscopic measurements from a reaction system is a challenging task for chemometric systems in the absence of a priori knowledge about the reaction components involved. A popular approach in the literature is based on constrained entropy minimization of the second-order derivative of the resolved pure component spectra. Using an analytical information theoretic framework, it can however be shown that minimization of this cost function is not sufficient to completely separate the underlying components from a set of mixture spectra. Instead, an augmented objective function derived from this analysis is proposed for complete minimization of the mutual information between separated components. The final optimization approach is further shown to be analog to independent component analysis (ICA), a signal processing technique successfully applied to biomedical and speech data to separate linear source mixtures in the absence of a priori information. The developed theoretical insights and proposed methodologies in this paper are illustrated in a simulation study on the separation of three component spectra based on absorbance data acquired from a first-order kinetic reaction system.     

Artificial intelligence implementation in the APS process diagnostic

Thermal spray process is a technique of coating manufacturing implementing a wide variety of materials and processes. This technique is characterized by up to 150 processing parameters influencing the coating properties. The control of the coating quality is needed through the consideration of a robust methodology that takes into account the parameter interdependencies, the process variability and offers the ability to quantify the processing parameter-process response relationships. The aim of this work is to introduce a new approach based on artificial intelligence responding to these requirements. A detailed procedure is presented considering an artificial neural network (ANN) structure which encodes implicitly the physical phenomena governing the process. The implementation of such a structure was coupled to experimental results of an optic sensor controlling the powder particle fusion state before the coating formation. The optimization steps were discussed and the predicted results were compared to the experimental ones allowing the identification of the control factors.     

Free asymmetric transverse vibration of polar orthotropic annular sector plate with thickness varying parabolically in radial direction

In the present paper, free asymmetric transverse vibrations of a non-uniform polar orthotropic annular sector plate, with parabolically varying thickness in the radial direction, have been studied on the basis of classical plate theory. The circular edges of the plate are elastically restrained against translation and rotation while the straight (radial) edges are simply-supported. Fourth-order linear differential equations with variable coefficients governing the motion have been solved by using the collocation interpolation technique with Chebyshev points as the interpolating nodes. Frequency parameters of the plate with flexible boundary conditions at the circular edges for some typical values of the taper parameters, the rigidity ratios and the radii ratio have been presented.     

Computer Solutions in Choosing Automatic Process Regulators

The paper discusses the use of the URA software for choosing automatic regulators and calculating their setting parameters, as it is intended for simulating transient response by computer.     

AC-2型励磁系统参数优化研究

通过模型仿真与程序设计相结合的方法来研究AC 2型励磁系统参数优化问题。解决了利用Matlab语言中的Simulink软件包对单机-无穷大母线系统(SMIB)的励磁控制进行建模与仿真时,AC 2型励磁系统与发电机接口的模型建立问题及模型中非线性环节处理的问题。分析了模型中的参数KA(放大倍数)和TA(时间常数)变化时,系统的时域响应特性,得出了励磁控制系统(ECS)参数对电力系统暂态性能影响的规律。以此为依据,并通过程序设计,求出了给定工况下AC 2型励磁系统参数的最优值。     

三峡左岸电站水轮发电机组失步保护

介绍了在2003年投产发电的三峡电站水轮发电机组VGS机型的配套失步保护。其中,重点介绍了失步保护的原理、失步逻辑、参数整定等;并就参数整定中的阻抗整定、系统振荡最大滑差频率做了详细阐述。     

识别变压器励磁涌流和内部短路电流的小波能量谱图解法

基于小波多分辨率分析理论,提出了一种以能量变化率的比值作为判据,区分变压器励磁涌流和内部短路电流的新方法—小波能量谱图解法。它从信号的小波能量谱图中提取特征量,作为模式识别的依据来鉴别励磁涌流和内部短路电流。仿真计算表明该方法简单有效,具有一定的应用前景。     

硫酸钠过氧化氢加合物的制备及表征

对三元体系Na2SO4-H2O2-H2O的相图进行了分析,确定了合成Na2SO4·H2O·0.5H2O2适宜的原料配比.据此相图,利用质量分数为30%的双氧水制备出硫酸钠过氧化氢加合物Na2SO4·H2O·0.5H2O2,其H2O2的含量为9.48%, 接近于理论含量9.6%.利用红外光谱和X射线衍射对该加合物进行了表征.在Nicolet NEXUS 4704傅立叶红外光谱仪上测定了Na2SO4·H2O·0.5H2O2的红外光谱,在D/MAX-3B型X-射线衍射仪(RIGAKU)上测定了其X-射线粉末衍射图谱,为Na2SO4·H2O·0.5H2O2的深入研究提供了依据.     

SAP2000n在静力弹塑性分析中的应用

对SAP2000n程序中静力弹塑性分析的基本原理及实现步骤进行分析,并结合中国规范对其中一些参数加以调整.最后用程序对一个四层框架进行静力弹塑性分析和抗震性能评价.结果表明:该方法可从层间位移角、塑性铰分布及变形等方面对结构进行综合的量化评价,并能揭示出结构在罕遇地震作用下的薄弱环节,是实现基于性能设计的有效方法.     

单矢量传感器的互谱估计与方位估计

单矢量传感器的互谱估计,将时域随机过程变换成了频域随机变量.该变量的统计特性,使得各向同性噪声场影响具有更加明确的物理解释.给出了互谱估计一、二阶矩和一维概率密度函数.由于拾取了振速信息,单个矢量传感器便能获得目标方位的最大似然估计.基于互谱估计的统计特性,给出了方位估计概率密度函数的通解形式,在纯噪声和高信噪比两种极端情况下推导了方位估计的数字特征.对低信噪比的方位有偏现象做出了解释,对高信噪比的判别条件给出了定量描述.理论分析与仿真结果一致,从而为湖海实验研究预备了统计知识.