台达20PM运动控制器在包装膜打孔机上的应用

台达20PM运动控制器及伺服驱动系统已被应用于食品包装膜打孔机。应用实例表明，采用基于非周期凸轮控制模式和CAMTABLE表的高速交流伺服驱动来代替快速气缸打孔是一种极佳的解决方案。该文简介了该打孔机控制系统的构成，着重分析了追剪和高速比较与捕捉功能这两个控制要素和部分应用程序。     

超高层建筑高速电梯关键技术研究

高速电梯作为超高层建筑的垂直运输设备,其性能备受关注。针对超高层建筑高速电梯关键技术展开探讨、分析,希望能进一步促进高速电梯的发展和应用。     

基于动态RBF网络的预测控制在中速磨煤机优化控制的应用

针对大型火电厂直吹式制粉系统的时滞和非线性特点,将基于动态RBF网络模型的预测控制应用于MPS中速磨煤机的优化控制中。通过对M-RAN算法的改进,加快了对非线性系统的辨识速度。建模仿真证明了改进M-RAN算法的有效性和实时性,并结合预测控制解决了系统的时滞问题;应用结果也表明该方法具有良好的动态响应和较强的鲁棒性。     

Extreme learning machine approach for sensorless wind speed estimation

Precise predictions of wind speed play important role in determining the feasibility of harnessing wind energy. In fact, reliable wind predictions offer secure and minimal economic risk situation to operators and investors. This paper presents a new model based upon extreme learning machine (ELM) for sensor-less estimation of wind speed based on wind turbine parameters. The inputs for estimating the wind speed are wind turbine power coefficient, blade pitch angle, and rotational speed. In order to validate authors compared prediction of ELM model with the predictions with genetic programming (GP), artificial neural network (ANN) and support vector machine with radial basis kernel function (SVM-RBF). This investigation analyzed the reliability of these computational models using the simulation results and three statistical tests. The three statistical tests includes the Pearson correlation coefficient, coefficient of determination and root-mean-square error. Finally, this study compared predicted wind speeds from each method against actual measurement data. Simulation results, clearly demonstrate that ELM can be utilized effectively in applications of sensor-less wind speed predictions. Concisely, the survey results show that the proposed ELM model is suitable and precise for sensor-less wind speed predictions and has much higher performance than the other approaches examined in this study.     

基于纳米压缩跨平台高负载手游的技术开发

现如今，智能手机的使用非常普遍，3G和4G网络也大规模的发展和普及，手机游戏市场随之在不断扩大，手机游戏用户也在日渐增多。因此,研究适于手机平台的网游服务端关键技术具有很重要的现实意义和应用价值。     

Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method

Wind speed is the major factor that affects the wind generation, and in turn the forecasting accuracy of wind speed is the key to wind power prediction. In this paper, a wind speed forecasting method based on improved empirical mode decomposition (EMD) and GA-BP neural network is proposed. EMD has been applied extensively for analyzing nonlinear stochastic signals. Ensemble empirical mode decomposition (EEMD) is an improved method of EMD, which can effectively handle the mode-mixing problem and decompose the original data into more stationary signals with different frequencies. Each signal is taken as an input data to the GA-BP neural network model. The final forecasted wind speed data is obtained by aggregating the predicted data of individual signals. Cases study of a wind farm in Inner Mongolia, China, shows that the proposed hybrid method is much more accurate than the traditional GA-BP forecasting approach and GA-BP with EMD and wavelet neural network method. By the sensitivity analysis of parameters, it can be seen that appropriate settings on parameters can improve the forecasting result. The simulation with MATLAB shows that the proposed method can improve the forecasting accuracy and computational efficiency, which make it suitable for on-line ultra-short term (10 min) and short term (1 h) wind speed forecasting.     

DYL高速视频12位DAC的研制

文中介绍了以我国独创的DYL多元逻辑电路为基础,并配合了申请国家发明专利的高速差动电压模拟开关构成的12位高速DAC转换器。同时解决了以往高速转换器输出阻抗、使用范围受限的缺点。同时对所研制的高速DAC在结构、工艺、修正技术及测试上进行了多方面的研究探讨。     

Development and analysis of a tool for speed up of EnergyPlus through parallelization

This paper describes how the EPparallel tool splits a single annual simulation into 12 simulations of one month each and runs them in parallel. The paper also describes the methodology to prepare input files, enable file sharing between nodes, collate results generated by the nodes, and ensure quality check on the simulations. The EPparallel tool uses Message Passing Interface library and runs on Linux. The tool has been tested on 16 commercial reference buildings over 16 US weather files. The results of these 256 runs which include the run times, computing time overheads, speed gains and accuracy of results are presented in this paper. The speed gain ranged from 2.9×to 7.8×and deviation (percentage of output values obtained in parallel simulation which were off by more than 1% as compared to output values obtained in annual simulation) ranged from 0% to 4%.     

PF线C型钩载荷梁优化设计

针对高线厂PF线C形钩载荷梁存在的结构缺陷，对载荷梁上吊轴的安装结构进行了改进，使之能够防尘，并减小转动摩擦阻力，减少了PF线设备故障，降低了备件消耗和系统能耗。     

Z-fiber influence on high speed penetration of 3D orthogonal woven fiber composites

In the current work we present a computational investigation of high speed penetration response of 3D orthogonal woven fiber composites (3D OWC) utilizing sub-unit cell, meso-level partitioned damage mechanics with the specific aim of understanding the role of Z-fibers in the mechanical response. In our model, two primary sources of nonlinearities have been addressed – one resulting from the strain rate dependence and large deformation of the composite constituents and the other from evolving failure. We reduce a number of arbitrary parameters typically present in high speed models by taking advantage of specific geometrical properties of 3D OWC which prevent extensive delamination. This property allows us to partition the structure into resin impregnated fibers assumed to be wholly responsible for the progressive damage behavior and bulk resin which is identified as the source of visco-plasticity and strain rate dependence. The fibers are modeled as anisotropic linear elastic with strain rate dependent progressive damage evolution. The resin is modeled using an advanced high strain rate large deformation Mulliken–Boyce polymer model (Mulliken and Boyce 2006) together with a terminal thermo-mechanical failure criterion. The projectile is assumed to be cylindrical, isothermal, rigid and impacting at right angles to the plate. The shape of the damaged area and the extent of penetrative damage compares favorably with experiments. We find that Z-fibers aid in improving penetration and impact resistance by both energy absorption and structural engagement. However, we also find that they are susceptible to localized de-bonding especially around the winding crowns. In addition, we found crucial differences in mechanical response in wave propagation brought about by the interplay of fiber architecture and damage with respect to simplified membrane models.Finally, the Z-fibers were found to influence the shape and nature of the damaged area in the fibers compared to layered composites where the matrix damage is spread more evenly while the fiber damage is restricted towards the fiber axes directions.