Integrated data analysis on the electron temperature profile of HL-2A with the Bayesian probability inference method

Data analysis on tokamak plasmas is mainly based on various diagnostic systems, which are usually modularized and independent of each other. This leads to a large amount of data not being fully and effectively exploited so that it is not conducive to revealing the deep physical mechanism. In this work, Bayesian probability inference with machine learning methods have been applied to the electron cyclotron emission and Thomson scattering diagnostic systems on HL-2A/2M, and the effects of integrated data analysis (IDA) on the electron temperature of HL-2A with Bayesian probability inference are demonstrated. A program is developed to infer the whole electron temperature profile with a confidence interval, and the program can be applied in online analysis. The IDA results show that the full profile of the electron temperature can be obtained and the diagnostic information is more comprehensive and abundant with IDA. The inference models for electron temperature analysis are established and the developed programs will serve as an experimental data analysis tool for HL-2A/2M in the near future.     

基于柯氏熵的汽车发动机状态预测的可行性研究

由于非线性系统存在长期不可预测性，基于此，建立了基于时间序列的柯尔莫哥洛夫熵求解方法，并利用柯尔莫哥洛夫熵求取了复杂机械系统状态的最大可预测的点数。这一研究为确立复杂设备状态预测的可信区间提供了理论支持，所获得的方法为复杂机械系统状态预测的可预测时间的界定提供了行之有效的技术方法。     

Maximum-likelihood mixture factor analysis model and its application for process monitoring

In the present paper, a mixture form of the factor analysis model is developed under the maximum-likelihood framework. In this new model structure, different noise levels of process variables have been considered. Afterward, the developed mixture factor analysis model is utilized for process monitoring. To enhance the monitoring performance, a soft combination strategy is then proposed to integrate different local monitoring results into a single monitoring chart, which is based on the Bayesian inference method. To test the modeling and monitoring performance of the proposed mixture factor analysis method, a numerical example and the Tennessee Eastman (TE) benchmark case studies are provided.     

WT615增压CNG电喷发动机燃烧特性数值分析

以WT615 CNG发动机为模拟研究对象,采用KIVA-3V软件建立了多维软件计算模型,并验证了模型的准确性。在此基础上研究了主要结构参数——燃烧室形状对燃烧特性和整机性能的影响。研究表明,直口形燃烧室的动力性、经济性能最好,更加适用于该天然气发动机,但排放性能有待提高;缩口形燃烧室的整机性能次之,碗形燃烧室的动力性和经济性则较差,后燃现象严重,不适用于天然气发动机。     

一种基于语义网的相似度计算模型

在检索信息时我们经常简单的依靠关键词匹配,往往导致检索结果不全或者不准。随着语义网概念的提出,为我们提供了新的研究方向。本文在传统的计算句子相似度的基础上,提出了把语义网和改进的相似度计算方法相结合,并把该计算模型应用在依靠论文摘要来检索相关论文上。由于语义网的引入,使得搜索变得智能化,从简单的依靠关键词匹配提高到语义层面,从而提高了查全率和查准率。     

考虑边信息的多层贝叶斯需求预测模型

随着工业互联网经济的发展,需求的不确定性日益增大,为提高需求预测的准确性,提出一个考虑边信息的多层贝叶斯需求预测模型(DFSI)。DFSI模型通过构造隐层的网络结构以实现对客户需求更加精确的刻画,该隐层结构主要包含两组参数:一组用于描述客户需求在时间上固有的连续性特征,另一组则用于融合相关的边信息特征。进一步,以贝叶斯推断为理论基础,以最大化后验概率为目标,推导出了DFSI的优化目标,并基于梯度下降方法设计了相应的求解算法。使用京东商城及某制造企业的真实销售数据对提出的模型进行了检验。结果显示,与常用的需求预测模型相比,DFSI能获得更好的预测结果。     

OPGW与ADSS在电力系统中的应用

介绍电力系统特种光缆OPGW(架空地线复合光缆)和APSS(全介质自承式光缆)的特点、结构对性能的影响,同时分析了两种光缆在应用中的差异,并介绍了两种光缆在应用中应注意的一些问题。     

基于ANFIS的长期电力负荷预测模型

某电力公司的长期负荷预测模型,利用自适应神经网络模糊推理系统(ANFIS)建立.其结构分为计算输入的模糊隶属度、每条规则适用度、适用度归一化、每条规则输出及模糊系统输出5层.系统网络中含14个待定的前件和后件参数.采用Matlab编程,通过Sugeno和evalfis函数训练ANFIS,按指定指标得到这些参数,实现模糊预测.     

Research status of key techniques for shock-induced combustion ramjet(shcramjet) engine

As one of the most promising propulsion systems in the future,shock-induced combustion ramjet engine can remedy the disadvantages in the integrated design of scramjet engine and airframe.It can shorten the length of the combustor,lighten the structure weight of the engine and keep better performance in a broad range of flight Mach number.The elementary principle of shock-induced combustion ramjet engine is introduced.The key technologies of this kind of propulsion system are described,while their research s...     

基于间接矢量控制的感应电机高速弱磁区电流控制

感应电机弱磁高速运行,由于低磁场、强耦合和大时滞的影响,使得目前的间接矢量控制系统难以实现电流有效控制。针对5～6倍基速及以上速度运行时的电流控制问题,考虑电压、电流、参数变化以及转速等多状态的耦合影响,以基于模糊推理的专家系统,构建电流给定自整定控制器,即使在整定失败的情况下也可以使用一个次优参数替代,克服了一般专家系统存在无法找到满足性能指标参数,导致整定失败的缺点,通过控制器对电流给定进行预处理,保证电流的有效跟随,提高电流控制的稳定性。最后进行仿真和物理实验验证,结果表明本方法具有有效性和实用性。