The use of genetic algorithms for assessment of high voltage fields

There are several numerical methods for calculation of electric fields but they need some sort of experience and trial and error to get the correct solution. A genetic algorithm (GA) based approach is used to eliminate the need for the experience and to save time and effort spent in the trial and error. Two enhancement techniques, namely, Refreshment Method and No-Twins Method, are used with the GA operators to improve the performance of the GA in assessment of high voltage fields. The performance of these two enhancement techniques has been studied for computing the electrostatic field in high voltage applications.     

Noise analysis compact differential evolution

This article proposes a compact algorithm for optimisation in noisy environments. This algorithm has a compact structure and employs differential evolution search logic. Since it is a compact algorithm, it does not store a population of solutions but a probabilistic representation of the population. This kind of algorithmic structure can be implemented in those real-world problems characterized by memory limitations. The degree of randomization contained in the compact structure allows a robust behaviour in the presence of noise. In addition the proposed algorithm employs the noise analysis survivor selection scheme. This scheme performs an analysis of the noise and automatically performs a re-sampling of the solutions in order to ensure both reliable pairwise comparisons and a minimal cost in terms of fitness evaluations. The noise analysis component can be reliably used in noise environments affected by Gaussian noise which allow an a priori analysis of the noise features. This situation is typical of problems where the fitness is computed by means of measurement devices. An extensive comparative analysis including four different noise levels has been included. Numerical results show that the proposed algorithm displays a very good performance since it regularly succeeds at handling diverse fitness landscapes characterized by diverse noise amplitudes.     

复合材料蜂窝夹层结构计算的一般方法和进展

本文对目前蜂窝夹层结构有限元分析的方法进行旭纳；对每一种计算模型中所包含的假设作一讨论；指出其适用范围，供设计和强度计算时参考。     

惯性、刚性振动出矿机合理振动形态设计理论探讨

简要地讨论了惯性、刚性振动出矿机在三个自由度下运动的解答;并根据实际使用情况,提出了振动出矿机合理振动形态的概念及条件。从理论上导出了求得合理振动形态的设计方法及计算公式。     

基于r2法刀具偏移计算实现

本文详细介绍了r2法实现刀具偏移计算的基本原理和实施方法.     

直线交流永磁同步电动机的磁场计算

应用有限元方法计算直线交流永磁同步电动机的磁场分布,指出其特性,为改进电机设计提供了依据。     

网络等值与互联电网潮流分析

基于互联电网解合环潮流分析的现实需求。开发了一个应用软件。它采用潮流网络等值算法进行电网解合环分析。介绍了该算法的基本思路。并以实际算例阐明其计算精度高。具有普遍应用意义。在等值模式的选择中,通过分析端口模式和局部网络模式的优缺点。认为在可获得较多主网数据的情况下应优先采用局部网络模式。同时还指出。在软件的实现中应注意操作界面的图形化、数据对接的自动化和数据传送的信息化等问题。     

有一个紧固件的半无限板孔周应力有限元分析

用有限元法计算了有一个紧固件孔的半无限平板在紧固件力作用下的孔周应力．在紧固件与孔之间的接触区域的结点间加无长刚杆元．用反复计算的方法确定接触范围；计算出孔周应力等，并与文献［１］的实验结果进行了比较．     

基于支持向量机与神经网络的间谐波测量混合算法

针对目前缺乏国家标准规范间谐波对电能质量的影响,也缺乏有效的手段监测间谐波的问题,用支持向量机理论对其进行了探索。支持向量机理论将间谐波这个非线性问题变换到更高维的空间中进行线性回归,它基于迭代权调整最小二乘法,引入反向传播神经网络算法整定算法参数,通过反馈现场采集、分析信号,并将教师信号与计算信号的差值作为调整参数的驱动信号,在此基础上通过反向遗传算法(BPNN)的反向传播能力对参数进行基于负反馈的调整,提高了算法的收敛速度。通过数值实验对比,该算法比没有使用差动信号的混合算法效率提高约13%。     

超静定结构综合预应力度直接设计方法的研究

提出综合预应力度的概念,并以此提出综合预应力度直接算法的计算原理,从而克服利用传统预应力度设计计算超静定结构时所面临的重复计算问题,为预应力结构的计算提供一个快捷方法。