一种新型的无刷同步电动机

改进逆序串激式无刷同步电动机在结构上和电气上的缺点,提出一种新型的励磁方式,以获得结构和电气性能更优的无刷同步电动机。方法应用 自控和斩波技术,实现励磁电流的自动调节。     

盐胁迫下灰绿藜叶片光合特性与叶绿体离子调节的研究

ＮａＣｌ处理后,灰绿藜整个叶片内Ｎ＾＋ａ和Ｃｌ＆－积累,但叶绿体内仅少量增加。叶绿体与叶片的Ｋ＾＋浓度都降低。     

电动势负反馈直流调速系统研究

在分析了电压负反馈直流调速系统的优缺点基础上,本文提出了电动势负反馈调速方法,并给出了该方法的系统图、框图和静特性。对电动势负反馈双直流电动机调速系统也进行了探讨。文中还对电动势负反馈直流调速系统的优缺点和应用范围加以了分析。     

交流调速系统的自学习控制

本文介绍了Ｉ／Ｏ映照记忆模型自学习控制的理论和方法,并用其为具有重大节能意义的泵类、风类机类等交流调速装置设计通用的智能控制器,以实现对期望转速的跟踪控制．文中给出了统一的系统模型描述、学习控制原理及初值控制的处理方法．     

Regulation of plastic from a circular economy perspective

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Estimating reaction parameters in mechanism-enabled population balance models of nanoparticle size distributions: A Bayesian inverse problem approach

In order to quantitatively predict nano- as well as other particle-size distributions, one needs to have both a mathematical model and estimates of the parameters that appear in these models. Here, we show how one can use Bayesian inversion to obtain statistical estimates for the parameters that appear in recently derived mechanism-enabled population balance models (ME-PBM) of nanoparticle growth. The Bayesian approach addresses the question of “how well do we know our parameters, along with their uncertainties?.” The results reveal that Bayesian inversion statistical analysis on an example, prototype nanoparticle formation system allows one to estimate not just the most likely rate constants and other parameter values, but also their SDs, confidence intervals, and other statistical information. Moreover, knowing the reliability of the mechanistic model's parameters in turn helps inform one about the reliability of the proposed mechanism, as well as the reliability of its predictions. The paper can also be seen as a tutorial with the additional goal of achieving a “Gold Standard” Bayesian inversion ME-PBM benchmark that others can use as a control to check their own use of this methodology for other systems of interest throughout nature. Overall, the results provide strong support for the hypothesis that there is substantial value in using a Bayesian inversion methodology for parameter estimation in particle formation systems.     

青海省水利建设管理问题探讨

总结了1998年以来青海省水利建设管理中取得的成绩，指出了水利建设管理中存在的问题，并对今后的发展方向进行了探讨。     

CO2监测分析仪在监测过程中对桥室温度的恒温控制

CO2监测分析仪在监测过程中,CO2监测值的精度是由CO2监测分析仪的桥室参比温度是否恒定而决定的.老式监测分析仪桥室温度是采用断续的双位恒温调节,其温度调节误差大,一般只能在±1℃左右,所以CO2监测值的精度低.采用微机交流调压的CO2监测分析仪桥室恒温调节,其温度调节器采用PID调节,使桥室温度误差可控制在±0.2℃,提高了CO2监测值的监测精度.     

在非时齐马氏决策过程中的动态贝叶斯网络研究

提出了用动态贝叶斯网络（DBN）对非时齐马氏决策系统进行建模的改进方法，使动态贝叶斯网络能被更广泛地应用于各种复杂的真实系统中．该方法的基本思路是，将扩展后的隐藏变量引入DBN的演化过程来建立假设条件所要求的马尔可夫模型，给出从不完整的样本数据集以及存在隐藏变量时来学习DBN结构的算法，进而用贝叶斯概率统计方法对后来的时间片的充分统计因子进行估计，并通过当前已存在的和估计的充分统计因子对基于时间变化的转移概率进行学习，以解决假设条件要求的转移概率的时不变性．原理性分析和仿真实验结果也验证了改进方法的有效性．