关于模糊度的改进

在本文中,我们给出了模糊集的模糊度的度量公式。如果U离散时,如果U连续时,     

Representing measured quantities and measurement errors as fuzzy variables

In order to describe measured quantities and measurement errors as fuzzy variables, two forms are considered of simplified assignment functions in the form of trapezia with rectilinear and curvilinear sides. The expressions for the systematic and random error components then correspond to the existing standardization documentation. The mathematical processing programs for measurements operate with rules for acting with fuzzy variables and have potential capacity for providing their own metrological documentation. Comparative numerical examples are given. __________ Translated from Izmeritel’naya Tekhnika, No. 2, pp. 3–8, February, 2007.     

应用BP神经网络的超高压输电线路可听噪声预测

以甘肃省多条330 kV超高压输电线路可听噪声的实测数据样本为例,研究基于误差反传(back propagation,BP)神经网络的可听噪声预测的方法。将330 kV单回路三角型线路结构输电线路的可听噪声数据整理分析后建立数据样本,选择影响可听噪声的13个因素作为输入变量,可听噪声值作为输出变量,建立3层结构的BP神经网络预测模型,用数据样本训练和验证预测模型。结果表明,基于BP神经网络的可听噪声预测方法能够较精确地预测可听噪声数据样本中除了输入样本以外的其余样本,可作为超高压输电线路可听噪声预测的一种简单有效的方法。     

传感器测量误差补偿方法

传感器测量在工业生产中有着广泛的应用,缺点是温度漂移较大.为了提高传感器测量精度,消除环境温度的影响,减少测量过程中的噪声干扰.本文介绍了系统硬件和软件的设计思路,利用电路差分原理,单片机软件控制原理,实现误差补偿.结果表明,该线性电阻温度传感器的输出电压与温度成良好的线性关系,实测结果的最大非线性误差不超过0.5%,通过对补偿前后电路进行验证,得出温度-电压曲线,将补偿前和补偿后实验结果进行对比,温度漂移小于10%.达到良好的效果,具有较大的推广应用价值.     

CY6140型车床主轴箱传动系统及结构的改进意见

通过对ＣＹ６１４０型车床主轴箱的传动系统及结构的分析，指出该主轴箱在主轴８级中转速时，轴Ｖ存在高速空运转，主轴箱进给反向机构中，刚性差的中间轴Ｘ上的齿轮Ｚ１８转速高，均增加主轴箱的噪声、振动和能耗。在基本保持主轴箱原制造工艺的基础上，本文提出避免轴Ｖ高速空运转和降低轴Ｘ齿轮转速的改进意见，可降低主轴箱的噪声、振动和能耗。     

一种板形检测值处理方法的开发及应用

介绍了一种用于接触式分段板形仪的板形检测信号处理方法及处理流程．用该方法处理板形检测信号不需要计算带钢在板形仪上形成的包角．该法编制成程序后,作为一个模块被应用在一台可逆冷轧机的板形控制系统中．轧机投入运行后,生产稳定,并取得了良好的板形控制效果,平均板形偏差控制在5I以下,表明该方法是稳定、有效的,可以用于工业生产．     

第3类边界条件下的电磁差分方法

研究了电磁散射中的无限域问题转化为有限域的基本思想,同时给出了ＴＭ波入射时二维理想导体柱散射下闭合面上的精确第３类边界条件,并利用该条件导得的差分方程计算了数值实例．与ＭＥＩ方法进行了对比,指出ＭＥＩ方法中的第３假设值得商榷．     

Numerical analysis of stability for mined-out area in multi-field coupling

There were differences between real boundary and blast hole controlling boundary of irregular mined-out area in underground metal mines. There were errors in numerical analysis of stability for goaf, if it was analyzed as regular 3D mined-out area and the influence of coupling stress-seepage-disturbance was not considered adequately. Taking a lead zinc mine as the background, the model was built by the coupling of Surpac and Midas-Gts based on the goaf model precisely measured by CMS.According to seepage stress fundamental equations based on the equivalent continuum mechanical and the theory about equivalent load of dynamic disturbance in deep-hole blasting, the stability of mined-out area under multi-field coupling of stress-seepage-dynamic disturbance was numerically analyzed. The results show that it is more consistent between the numerical analysis model based on the real model of irregular 3D shape goaf and the real situation, which could faithfully reappear the change rule of stress–strain about the surrounding rock under synthetic action of blasting dynamic loading and the seepage pressure. The mined-out area multi-field coupling formed by blasting excavation is stable. Based on combination of the advantages of the CMS,Surpac and Midas-Gts, and fully consideration of the effects of multi-field coupling, the accurate and effective way could be provided for numerical analysis of stability for mined-out area.     

风电功率短期预测及非参数区间估计

为满足电网规划的要求,风电功率预测系统不仅需要提供确切的预测值,还应该对预测值包含的风险做出合理的评估。利用人工神经网络预测风速、风向,并根据实测功率曲线获得风电功率预测值。分析了造成风电功率预测结果不确定的影响因素,提出一种基于预测误差分布特性统计分析的非参数置信区间估计方法,对各功率分区内的预测误差概率密度函数进行建模,并在确定性预测基础上求取概率性风电功率预测值。仿真结果验证了该方法的实用性与有效性。     

Interactive Genetic Algorithms with Fitness Adjustment

Noises widely exist in interactive genetic algorithms. However, there is no effective method to solve this problem up to now. There are two kinds of noises, one is the noise existing in visual systems and the other is resulted from user＇s preference mechanisms. Characteristics of the two noises are presented aiming at the application of interactive genetic algorithms in dealing with images. The evolutionary phases of interactive genetic algorithms are determined according to differences in the same individual＇s fitness among different generations. Models for noises in different phases are established and the corresponding strategies for reducing noises are given. The algorithm proposed in this paper has been applied to fashion design, which is a typical example of image processing. The results show that the strategies can reduce noises in interactive genetic algorithms and improve the algorithm＇s performance effectively. However, a further study is needed to solve the problem of determining the evolution phase by using suitable objective methods so as to find out an effective method to decrease noises.