80kt/a硫磺回收装置国产化设计

介绍了无在线炉硫回收工艺的基本原理、技术特点和催化剂使用情况。已投用的工业装置运行结果证明 ,用该工艺设计的硫磺回收装置 ,硫回收率和尾气净化度高 ,投资少 ,能耗低 ,流程简单 ,操作控制方便 ,社会效益和经济效益显著 ,适用于同类装置的新建和改扩建项目 ,市场前景广阔。     

改进SSR算法在人脸识别中的应用

为提高人脸检测中人脸验证的速度,在平方积分图像和图像窗口的灰度均值及方差快速计算基础上,对传统的SSR算法中人脸验证算法部分进行了改进。应用改进的算法,结合窗口灰度标准化的计算和平均人脸模板的取得,引入相关系数和平均偏差,加快了求解速度,克服了由于噪声点的存在对真实的候选脸图像漏检的情况。人脸检测实验证明应用改进的模板匹配算法的正确性.     

Bifurcation analysis for an SMIB power system with series capacitor compensation associated with sub-synchronous resonance

In this paper,an introduction to the bifurcation theory and its applicability to the study of sub-synchronous resonance (SSR) phenomenon in power system are presented. The continuation and bifurcation analysis software AUTO97 is adopted to investigate SSR for a single-machine-infinite-bus power system with series capacitor compensation. The investigation results show that SSR is the result of unstable limit cycle after bifurcation. When the system exhibits SSR, some complex periodical orbit bifurcations, such as torus bifurcation and periodical fold bifurcation, may happen with the variation of limit cycle. Furthermore, the initial operation condition may greatly influence the ultimate state of the system. The time-domain simulation is carried out to verify the effectiveness of the results obtained from the bifurcation analysis.     

Adaptive RTRL based neurocontroller for damping subsynchronous oscillations using TCSC

Modern interconnected electrical power systems are complex and require perfect planning, design and operation. Hence the recent trends towards restructuring and deregulation of electric power supply has put great emphasis on the system operation and control. Flexible AC transmission system (FACTS) devices such as thyristor controlled series capacitor (TCSC) are capable of controlling power flow, improving transient stability and mitigating subsynchronous resonance (SSR). In this paper an adaptive neurocontroller is designed for controlling the firing angle of TCSC to damp subsynchronous oscillations. This control scheme is suitable for non-linear system control, where the exact linearised mathematical model of the system is not required. The proposed controller design is based on real time recurrent learning (RTRL) algorithm in which the neural network (NN) is trained in real time. This control scheme requires two sets of neural networks. The first set is a recurrent neural network (RNN) which is a fully connected dynamic neural network with all the system outputs fed back to the input through a delay. This neural network acts as a neuroidentifier to provide a dynamic model of the system to evaluate and update the weights connected to the neurons. The second set of neural network is the neurocontroller which is used to generate the required control signals to the thyristors in TCSC. This is a single layer neural network. Performance of the system with proposed neurocontroller is compared with two linearised controllers, a conventional controller and with a discrete linear quadratic Gaussian (DLQG) compensator which is an optimal controller. The linear controllers are designed based on a linearised model of the IEEE first benchmark system for SSR studies in which a modular high bandwidth (six-samples per cycle) linear time-invariant discrete model of TCSC is interfaced with the rest of the system. In the proposed controller, since the response time is highly dependent on the number of states of the system, it is often desirable to approximate the system by its reduced model. By using standard Hankels norm approximation technique, the system order is reduced from 27 to 11th order by retaining the dominant dynamic characteristics of the system. To validate the proposed controller, computer simulation using MATLAB is performed and the simulation studies show that this controller can provide simultaneous damping of swing mode as well as torsional mode oscillations, which is difficult with a conventional controller. Moreover the fast response of the system can be used for real-time applications. The performance of the controller is tested for different operating conditions.     

一种新型的三相异步电动机保护电路设计介绍

文章介绍了三相异步电动机电源的相序接反,断相,三相电压不平衡的故障监测保护电路的电路结构及工作原理。     

网络流量监测服务器系统的研究

在电信企业的大型网络体系中,对网络数据流量的监测和控制已经为人们所关注。结合Flow Accounting Server(FAS)和Cabletron Traffic Accounting(CTA)管理系统,通过对LFAP协议的分析和研究,提出了对网络的流量和策略进行控制的方法,从而解决了大量的网络流 量监测任务。     

Gd0.8Sr0.2 CoO3-Sm0.2Ce0.80 O1.9复合阴极制备及性能研究

为探索适于中温条件下使用的固体氧化物燃料电池的阴极材料,用固相反应法制备了Gd0.8Sr0.2CoO3(GSC)阴极粉体,用X射线衍射考察了GSC的成相温度.采用丝网印刷法将GSC-(Sm2O3)0.1(CeO2)0.8(SDC)沉积在SDC电解质圆片上,制成对称阴极,在不同温度下烧结.用交流阻抗谱从500～750℃测量了GSC-SDC复合阴极和SDC电解质之间的界面电阻.结果表明,GSC-SDC复合阴极的界面电阻比GSC阴极降低了3～5倍;750℃时,GSC-SDC阴极的界面电阻仅为0.15Ω·cm2.     

SSR标记辅助回交转育大豆7S球蛋白α-亚基致敏蛋白缺失新品系

为快速培育7S球蛋白致敏蛋白α-亚基缺失的优质大豆新品系,以（α＇＋α）-亚基双缺失型材料日B为供体亲本,东农47为受体亲本,以杂交一回交转育方法为基础,结合SSR标记辅助遗传背景选择与主要农艺性状鉴定及品质分析,在BC2F4选育到7S球蛋白α-亚基缺失新品系Cb80。Cb80综合农艺性状优良,遗传背景回复率大于90％,其蛋白质及氨基酸总量为44．1％、41．95％,分别比轮回亲本东农47提高3．5和3．76个百分点。     

苦荞遗传多样性分析与核心种质筛选--测试文章

利用SSR分子标记技术,对来自西藏、陕西、四川、贵州等4省区的210份苦荞品种进行遗传多样性研究。结果表明,所选用的50对SSR引物中,有16对引物多态性良好,共扩增出178个条带,其中多态性条带达118个,占总数的66.3%;210份苦荞种质的遗传变幅为0.62～0.98,平均值为0.80,在遗传相似系数为0.88处可划分为5大类。聚类结果显示,来自同一地区的苦荞品种显示出聚为一类的趋势,表明苦荞的遗传信息受地理分布的影响较大;第V类所聚的41份分别来自西藏（27份）、陕西（8份）和贵州（6份）的品种表现出较为丰富的遗传多样性,与其他种质相比,这41份材料不仅遗传差异较大,而且遗传来源广泛,可作为苦荞核心种质筛选的基础。     

甘蓝型油菜SSR核心引物研究

为了确定一组适用于品种纯度鉴定和遗传多样性分析的SSR核心引物,以100份具有代表性的甘蓝型油菜品种（系）为研究材料对746对SSR引物进行筛选,综合考虑PIC（平均多态信息量）值大小、引物重复性、扩增带型清晰度、连锁群分布等因素,确定44对引物为甘蓝型油菜核心引物,其中20对引物为首选核心引物,24对引物为备选核心引物。20对首选核心引物每对可检测到3~9个多态性位点,PIC值介于0.56~0.80,共检测到102个位点,分布于11个连锁群上。随机抽取1对核心引物对一个杂交组合大田制种F1纯度进行鉴定,其鉴定结果与田间自然鉴定结果一致,并可同时鉴别出来源于父本及外来的混杂单株。将44对核心引物应用于品种的系谱分析和100份品种遗传多样性聚类分析,同样得到了很好的验证结果。该套SSR核心引物适用于甘蓝型油菜品种鉴定及遗传多样性研究。