异步发电机空载建压电容值的确定方法

为使异步发电机建立数值给定的空载电压,采用了通过优化求取建压电容的新方法。以异步发电机基值频率所对应的等值电路为基础,令等值电路回路阻抗的实部与虚部分别为零作为异步发电机稳态运行的条件,并由此计算异步空载建压电容值。用Hooke-Jeeves提出的模式搜索法来求解有约束优化问题,从而克服了传统的Newton-Raphson法稳定性差与难于处理有约束条件之弱点。论文给出了空载时建立不同数值端电压所需的电容值,计算结果与实验结果的相互吻合说明了分析方法的正确性。计算结果同时验证了饱和程度对空载建压电容值的影响,表明随着饱和程度的增加,空载建压电容值的增加幅度越来越大。     

单位毛利对标准差系数影响的分析

在销售量为随机变量的时候,本文利用标准差系数来讨论销售量、税息前收益和税后收益的波动程度之间的联系.看到在单位毛利较高的时候,销售量、税息前收益和税后收益的波动程度是逐渐增加的.但是单位毛利降低时,就会出现异常的情况.不同的单位毛利导致不同的企业收益波动规律.     

利用信号与系统概念分析线天线的互阻抗

基于信号与系统理论 ,并利用数字信号处理技术 ,提出了一种分析线天线互阻抗的新方法 .在这种方法中 ,借用信号与系统的概念 ,将天线阵中天线单元的电流视为激励信号 ,将天线阵的空间结构视为系统函数 (或传递函数 ) ,而将单元天线间的互阻抗 (或其它电磁特性 )视为整个系统的响应 .通过这种等效 ,可将天线阵中天线单元间相互耦合看作信号与系统中的系统响应 ,进而可利用数字信号处理方法进行分析 .最后给出了利用该方法计算对称振子天线互阻抗的实例 ,计算结果证明了该方法的有效性 .     

层次分析法中数字标度的选择与评价方法研究

针对目前在AHP 中常用的各种数字标度,指出了专家语言描述与数字标度之间的不一致性,并提出数字标度的选择与评价应该从其与自然语言描述的符合程度出发,以能够准确表达专家的语言表述作为衡量标准.其次,给出了一类数字标度模型,其基本上可以涵盖目前常用的数字标度.最后,基于合理的语言逻辑假设,给出了一种一般性的评价方法,以便于决策者在实际应用中选择适当的数字标度进行决策,降低了由于数字标度选择不当而带来的决策偏差.     

一类随机变量序列关于Г-分布的强偏差定理

引进似然比作为非负连续型随机变量序列相对于服从Г分布的独立随机变量序列的偏差的一种度量，并通过限制似然比给出了样本空间的一个子集，在此子集上运用鞅方法得到了任意非负连续型随机变量序列的一类用不等式表示的强极限定理，将任意随机变量序列关于乘积分布的强偏差定理从离散状态空间推广到连续状态空间．作为推论得到了任意非负连续型随机变量序列关于指数分布，厄兰分布以及X^2分布的强偏差定理以及服从Г-分布的独立随机变量序列的一族强大数定律．     

LEARNING CAUSAL GRAPHS OF NONLINEAR STRUCTURAL VECTOR AUTOREGRESSIVE MODEL USING INFORMATION THEORY CRITERIA

Detection and clarification of cause-effect relationships among variables is an important problem in time series analysis. Traditional causality inference methods have a salient limitation that the model must be linear and with Gaussian noise. Although additive model regression can effectively infer the nonlinear causal relationships of additive nonlinear time series, it suffers from the limitation that contemporaneous causal relationships of variables must be linear and not always valid to test conditional independence relations. This paper provides a nonparametric method that employs both mutual information and conditional mutual information to identify causal structure of a class of nonlinear time series models, which extends the additive nonlinear times series to nonlinear structural vector autoregressive models. An algorithm is developed to learn the contemporaneous and the lagged causal relationships of variables. Simulations demonstrate the effectiveness of the nroosed method.     

Studies on induction hardening of powder-metallurgy-processed Fe-Cr/Mo alloys

Induction hardening of dense Fe-Cr/Mo alloys processed via the powder-metallurgy route was studied. The Fe-3Cr-0.5Mo, Fe-1.5Cr-0.2Mo, and Fe-0.85Mo pre-alloyed powders were mixed with 0.4wt%, 0.6wt%, and 0.8wt% C and compacted at 500, 600, and 700 MPa, respectively. The compacts were sintered at 1473 K for 1 h and then cooled at 6 K/min. Ferrite with pearlite was mostly observed in the sintered alloys with 0.4wt% C, whereas a carbide network was also present in the alloys with 0.8wt% C. Graphite at prior particle boundaries led to deterioration of the mechanical properties of alloys with 0.8wt% C, whereas no significant induction hardening was achieved in alloys with 0.4wt% C. Among the investigated samples, alloys with 0.6wt% C exhibited the highest strength and ductility and were found to be suitable for induction hardening. The hardening was carried out at a frequency of 2.0 kHz for 2-3 s. A case depth of 2.5 mm was achieved while maintaining the bulk (interior) hardness of approximately HV 230. A martensitic structure was observed on the outer periphery of the samples. The hardness varied from HV 600 to HV 375 from the sample surface to the interior of the case hardened region. The best combination of properties and hardening depth was achieved in case of the Fe-1.5Cr-0.2Mo alloy with 0.6wt% C.     

Extensional scientific realism vs. intensional scientific realism

Extensional scientific realism is the view that each believable scientific theory is supported by the unique first-order evidence for it and that if we want to believe that it is true, we should rely on its unique first-order evidence. In contrast, intensional scientific realism is the view that all believable scientific theories have a common feature and that we should rely on it to determine whether a theory is believable or not. Fitzpatrick argues that extensional realism is immune, while intensional realism is not, to the pessimistic induction. I reply that if extensional realism overcomes the pessimistic induction at all, that is because it implicitly relies on the theoretical resource of intensional realism. I also argue that extensional realism, by nature, cannot embed a criterion for distinguishing between believable and unbelievable theories.     

问答社区问句中多字词表达提取

基于互动问答社区问句中多字词表达和问句理解的关系,提出针对互动问答社区问句进行多字词表达抽取,并基于互动问答社区问句中多字词表达的特点,提出适用于互动问答社区的多字词表达提取方法.该方法在利用互信息和停用词表的方法从问句中抽取候选多字词表达的基础上,将候选多字词表达分为正确串、残缺串、冗余串和错误串4类,借助搜索引擎对查询串的优化和候选多字词表达在互联网上的检索结果,设计候选多字词表达校正方法,实现对多字词表达的提取.以新浪爱问知识人问题库中的问句进行实验,结果表明,多字词表达抽取的准确率、召回率和F值分别达到84%,52%和0.64,验证了该方法的有效性.     

静止状态下直线感应电机的参数辨识方法

直线感应电机气隙较大,并且次级一般是由整块的铝板和次级铁轭压制而成.由于此种次级没有类似于旋转感应电机的鼠笼导条和短路环,导致次级漏感远远小于初级漏感.传统的测量电机参数的空载和堵转试验假设初、次级漏感相等,在直线感应电机中难以实施,因此测量直线感应电机的参数难度较大.本文提出了一种静止状态下直线感应电机的参数辨识方法,无须做空载和堵转试验,通过控制PWM逆变器就可以实现对直线感应电机的初级电阻R1、初级漏感L1、次级电阻R2、次级漏感L2和互感Lm的测量.在参数计算过程中引入了β参数,实验验证了该方法的准确性并且分析了β参数对该方法的影响.