燃煤锅炉除尘专用滤料的开发

介绍机械制造厂燃煤锅炉的烟尘特点,分析滤料失效的原因,提出一套针对该工况的滤料解决方案。介绍针对复杂工况条件所选用的纤维种类以及复合面层原料成分配比的确定,最终选用针刺工艺加工并对该新产品的基本性能进行了测试分析。     

GS-08乙苯脱氢催化剂在广石化的应用

乙苯脱氢催化剂GS-08催化剂在广州石化总研制的首次应用。     

某电动汽车三换热器热泵空调系统设计

本文分析了一种三换热器热泵空调系统的工作原理,基于公司某款纯电动汽车,设计了三换热器热泵空调系统。详细说明了系统的车内制冷、电池制冷、车内制热的工作过程、系统性能计算、12种工作模式切换策略、系统舒适性标定及节能效果。     

CO2体积分数对燃煤细颗粒物在水汽环境中凝结长大的影响

为研究燃煤烟气中CO₂体积分数对细颗粒物在水汽环境中凝结长大效果的影响,建立了计算模型并搭建了实验平台,分别从理论计算和实验研究两方面探讨了CO₂体积分数对细颗粒物凝结长大效果的影响。结果表明:随着CO₂体积分数升高,混合烟气的热、质扩散系数均降低,生长管内平均过饱和度增加,细颗粒物长大效果明显;管壁温度越高,随着CO₂体积分数的提高,细颗粒物粒径越大。     

基于改进K-Means聚类的煤炭交易者信誉度划分

针对目前煤炭销售中存在的煤炭质量信息分散性与质量计价政策对其质量精确性要求的矛盾,提出了采用对初始聚类中心优化选取的K-Means聚类算法,对大型煤炭企业及其联盟客户煤炭质量检验数据进行系统分析和挖掘,获得双方质量检验行为统计规律,进行交易双方信誉度等级划分,将不确定性的质量指标转化为确定性的交易者质量检验行为评价。该研究一方面可为煤炭企业在发生交易者质量纠纷情况下合理划分质量检验责任提供参考,监督和指导矿井和客户的质检管理工作;另一方面可以为煤炭企业提供销售决策辅助支持。     

山西省孝义市近40年气候变化特征分析

为了深入研究山西省孝义市气候变化特征,采用Mann-Kendall检验、滑动T检验及Morlet小波变换等方法对孝义市1975-2015年气候要素进行趋势估计、突变检验、周期分析及发展趋势预测。结果表明:近40年来,孝义市年平均气温呈显著上升趋势,突变年份为1996年,存在32、9 a长周期;年降雨量呈不显著下降趋势,突变年份为1990年,存在32、6 a长周期;年蒸发量呈显著性上升趋势,突变年份为1997年,存在32、10 a长周期;年平均相对湿度呈显著下降趋势,突变年份为1982、2003年,存在15、32 a长周期。孝义市1975-2015年年代际气候经历了"冷湿-暖湿-暖干"的变化过程,预测全境2017-2030年年代际气候将经历"冷湿-暖干"的变化过程。     

空间遥感器反射镜组件的设计与有限元分析

针对某空间遥感器反射镜的设计指标要求,分析并优化了反射镜的支撑形式和结构参数,得到了质量为23.7kg,轻量化率达到76.2%的反射镜结构。在反射镜基本构型确定的基础上,设计了镜体的支撑结构,通过合理设计柔性卸载结构满足了反射镜结构系统的动静态刚度和热尺寸稳定性要求。采用有限元软件ABAQUS对反射镜组件进行了精确有限元分析,分析结果表明,在1g重力作用下反射镜的面形精度RMS达到3.66nm,在4℃均匀温升载荷作用下反射镜的面形精度RMS达到4.16nm,在1g重力和4℃均匀温升载荷耦合作用下反射镜的面形精度RMS达到5.51nm,反射镜组件的一阶固有频率为137.51Hz。得到的结果显示该反射镜组件完全满足设计指标要求。     

倾斜波束非对称SAARS微带天线设计简

A circularly polarized microstrip antenna with the tilted beam of 30° through the asymmetrical structure combing the single-arm archimedean spiral antenna with the helix antenna is constructed in order to make the beam tilted. The bandwidth, tilted beam, and radiation characteristics have been improved through the width optimization and coaxial feed line selection. This antenna can realize the directional radiation of circularly polarized microwaves in a definite frequency band and has a bandwidth of 16.7％ (for Voltage Standing Wave Ratio(VSWR)<2, Axis Ratio(AR)<3dB and the tilted beam of 30°) in the condition of the vertical aperture external excitation with a coaxial feed line. Simulated and measured results show that this antenna has a wideband, high gain, and tilted beam with circularly polarized microwaves.     

基于RFID技术的堆场信息采集系统设计

为了解决当前集装箱堆场信息采集水平不足和工作效率低下的问题,设计了一个基于超高频无源RFID技术的堆场信息采集系统,介绍了系统的构成和各部分的作用,给出了系统中一种符合ISO 18000-6B和ISO 18000-6C标准协议的读写器的硬件和软件的设计方法,并描述了上位机软件的设计方法;该系统成功实现了对进出堆场的车辆的实时监控和集装箱信息的实时采集与处理,投入使用后明显简化了操作流程,加快了集装箱的流通速度;测试和应用结果表明该系统满足了实际的应用要求。     

Predictive Ensemble Pruning by Expectation Propagation

An ensemble is a group of learners that work together as a committee to solve a problem. The existing ensemble learning algorithms often generate unnecessarily large ensembles, which consume extra computational resource and may degrade the generalization performance. Ensemble pruning algorithms aim to find a good subset of ensemble members to constitute a small ensemble, which saves the computational resource and performs as well as, or better than, the unpruned ensemble. This paper introduces a probabilistic ensemble pruning algorithm by choosing a set of “sparse” combination weights, most of which are zeros, to prune the ensemble. In order to obtain the set of sparse combination weights and satisfy the nonnegative constraint of the combination weights, a left-truncated, nonnegative, Gaussian prior is adopted over every combination weight. Expectation propagation (EP) algorithm is employed to approximate the posterior estimation of the weight vector. The leave-one-out (LOO) error can be obtained as a by-product in the training of EP without extra computation and is a good indication for the generalization error. Therefore, the LOO error is used together with the Bayesian evidence for model selection in this algorithm. An empirical study on several regression and classification benchmark data sets shows that our algorithm utilizes far less component learners but performs as well as, or better than, the unpruned ensemble. Our results are very competitive compared with other ensemble pruning algorithms.