自供电旋转轴系监测系统设计

针对旋转轴系监测系统中传感器相关电路需要外部电能输入的问题,设计了一种基于自供电轴系的监测系统.基于电磁感应原理设计自供电系统结构,给出理论模型,设计整流稳压电路,测试数据测量模块和无线传输模块.结果表明:在不同转速下,该旋转轴系监测系统可以在无须外界电能输入的情况下,将轴系参数发送至上位机.测试数据符合实际值,可以实现旋转轴系监测系统的自供电.     

金具零部件表面防腐蚀试验研究

随着经济的持续高速增长，各行业用电需求增大。在加快特高压骨干电网建设的同时，提高现有电网的输电能力、输电质量成为重中之重。金具是海上换流站的重要组成部分，海洋环境的特殊性，对金具提出了更高的耐腐蚀性能要求。为了探究海洋环境对金具的腐蚀性，选用ZL101A和ZL102两种典型的铝合金金具，采用5种辅助防腐蚀工艺获得5种耐腐蚀样本，并模拟海上工况对其分别进行盐雾腐蚀试验，得出最优防腐蚀工艺。研究表明：ZL101A和ZL102两种铝合金具有一定的耐腐蚀性能，ZL101A铝合金的耐腐蚀性能强于ZL102铝合金的；抛丸处理的防腐措施在ZL101A铝合金样本中的防腐蚀表现要强于ZL102铝合金样本的；阳极氧化在两种材质中防腐蚀表现均为优异，是最优异的防腐蚀工艺。     

基于小波分析对地面电场信号的去噪及闪电信息提取

基于小波分析方法,通过对7种小波函数在误差控制和阈值方法选取上的对比,参考信噪比及均方误差等计算结果,选取了较为合理的Rigrsure阈值分析方法和sym5小波函数作为地面大气电场信号的去噪处理方法.该方法不仅能够较好地对电场信号波形平滑处理,降低电场波形中噪声信号的叠加度,还可保留闪电引起的电场的快速变化.在此基础上,利用差分计算方法实现了对闪电信号的自动识别,引入了总闪电频数误差及分时段闪电频数与人工分析结果的相关系数等2个参考量来选取差分计算方法中电场差分阈值,通过该方法可以实现闪电频数和极性等有关信息的提取.     

如何做好桩基工程旁站监理

文章介绍了桩基工程旁站监理的过程和实效及保证监理目标实现的具体措施。     

R ＆ D STRATEGIC INVESTMENT IN AN ASYMMETRICAL CASE

This article analyzes R ＆ D investment decisions in an asymmetrical case. The investment decisions share three important characteristics. First, the investment is completely irreversible. Second, there are two kinds of uncertainties over the future returns from the investment and over technology in R ＆ D process, respectively. Third, there is strategic competition in the asymmetrical case. This article presents the optimal investment threshold values and the optimal investment rule of high-efficient firm （leader）, and shows that the investment threshold values are reduced by competition of two firms. Finally, the mixed investment strategies for two firms, the probability that each firm separately exercises the option to invest, and the probability that two firms simultaneously exercise the option are given in the paper.     

矿山酸性废水的治理及综合回收

研究了ｐＨ值、中和剂、硫化物等对沉淀除去酸性矿山废水中有害金属离子的影响以及回收废水中重金属离子的可能途径．确定了ＣａＣＯ３除铁－Ｈ２Ｓ沉铜、锌－石灰乳中和絮凝沉淀处理矿山酸性废水的工艺．出水水质可达到国家排放标准．硫化渣中含铜量达３２％，含锌量７．２％，可以综合回收铜、锌等有价金属．     

工艺规划系统中动态模式分类的研究

提出了工艺规划系统中动态模式分类（pattern classification）的概念，介绍了模式分类判定树和动态模式分类的基本原理，并对动态模式分类的聚类质量标准进行了研究。动态模式分类是基于实例归纳（case based reasoning,CBR)的自动分类过程，具有自学习和自完善的功能。     

双层钙钛矿Sr2FeMoO6，Ba2FeMoO6的电磁性质研究

分析了双层钙钛矿结构的锰氧化合物Sr2FeMoO6,Ba2FeMoO6物相结构和电磁学性质,对巨磁阻效应进行了探讨,揭示了Sr2FeMoO6样品为半导体导电性,Ba2FeMoO6样品为金属导电性.     

Static extracting method of software intended behavior based on API functions invoking

The method of extracting and describing the intended behavior of software precisely has become one of the key points in the fields of software behavior＇s dynamic and trusted authentication. In this paper, the author proposes a specified measure of extracting SIBDS （software intended behaviors describing sets） statically from the binary executable using the software＇s API functions invoking, and also introduces the definition of the structure used to store the SIBDS in detail. Experimental results demonstrate that the extracting method and the storage structure definition offers three strong properties： （i） it can describe the software＇s intended behavior accurately; （ii） it demands a small storage expense; （iii） it provides strong capability to defend against mimicry attack.     

General and efficient parallel approach of finite element-boundary integral-multilevel fast multipole algorithm

A general and efficient parallel approach is proposed for the first time to parallelize the hybrid finiteelement-boundary-integral-multi-level fast multipole algorithm （FE-BI-MLFMA）. Among many algorithms of FE-BI-MLFMA, the decomposition algorithm （DA） is chosen as a basis for the parallelization of FE-BI-MLFMA because of its distinct numerical characteristics suitable for parallelization. On the basis of the DA, the parallelization of FE-BI-MLFMA is carried out by employing the parallelized multi-frontal method for the matrix from the finiteelement method and the parallelized MLFMA for the matrix from the boundary integral method respectively. The programming and numerical experiments of the proposed parallel approach are carried out in the high perfor- mance computing platform CEMS-Liuhui. Numerical experiments demonstrate that FE-BI-MLFMA is efficiently parallelized and its computational capacity is greatly improved without losing accuracy, efficiency, and generality.