A novel fast distance relay for series compensated transmission lines

This paper presents a fast distance relay for series compensated transmission lines based on the R–L differential-equation algorithm using the theory of equal transfer process of transmission lines. The measuring distances based on the proposed algorithm can fast approach the actual value of fault distance when a fault occurs in front of the series capacitor. When a fault occurs behind of the series capacitor, the fault loop, including the series capacitor, does not match the R–L transmission line model, so the measuring distances fluctuate severely. Based on this, the relative position of the fault with respect to the series capacitor can be judged effectively according to the fluctuation range of the measuring distances, and the accurate fault location can be obtained fast. A variety of PSCAD/EMTDC simulation tests show that the new relay has fast operating speed and high accuracy when applied to the long series compensated transmission lines.     

Time-series clustering – A decade review

Clustering is a solution for classifying enormous data when there is not any early knowledge about classes. With emerging new concepts like cloud computing and big data and their vast applications in recent years, research works have been increased on unsupervised solutions like clustering algorithms to extract knowledge from this avalanche of data. Clustering time-series data has been used in diverse scientific areas to discover patterns which empower data analysts to extract valuable information from complex and massive datasets. In case of huge datasets, using supervised classification solutions is almost impossible, while clustering can solve this problem using un-supervised approaches. In this research work, the focus is on time-series data, which is one of the popular data types in clustering problems and is broadly used from gene expression data in biology to stock market analysis in finance. This review will expose four main components of time-series clustering and is aimed to represent an updated investigation on the trend of improvements in efficiency, quality and complexity of clustering time-series approaches during the last decade and enlighten new paths for future works.     

第一再生器装卸催化剂口过滤器的设计及应用

针对 2 5万t a催化裂化装置第一再生器装卸催化剂口频繁堵塞问题 ,设计并安装特制的过滤器 ,解决了因堵塞影响装置生产的难题     

一种具有带孔补偿过滤器的γ剂量计的能响补偿计算

对在低能区有过高响应的γ辐射剂量计可采用带孔补偿过滤器进行能响补偿。本文介绍了对这类补偿过滤器选择最佳补偿参数(材料厚度和孔隙率)的近似求解方法;并对 CaSO:Tm 热释光剂量计用此方法作了实例计算。文中还计算了自制带有鼠笼结构的这类补偿过滤器的 CaSO:,Tm热释光剂量计对照射量的能量响应,与实测结果比较,各能量点响应的最大相差为10%。     

挤压力对晶体生长速度及枝晶间距的影响

研究了挤压铸造时挤压力对宏观晶体生长速度的影响，给出了晶体生长速度表达式。结果表明：挤压力对合金宏观晶体生长速度的影响除与合金成分有关外，在某些挤压条件下，当形核率的增加幅度超过长大速度时，则挤压力可使宏观晶粒细化；反之，会使宏观晶粒变粗。随着挤压力的提高，合金凝固速度加快，一次枝晶间距和二次枝晶间距都随之减小，从而细化了树枝晶。     

一种在Kalman滤波中引入径向速度测量的新方法

研究在距离和径向速度测量噪声统计相关的情形下把径向速度测量引入Kalman滤波的新方法。分析了径向速度测量噪声与位置测量更新后状态滤波误差的统计相关性,根据Gauss-Markov定理导出了对应于径向速度测量的滤波方程由此而得到一种序贯滤波算法。两个不同的蒙特卡罗仿真表明,通过采用这一新算法引人径向速度测量,不仅可以大大提高状态估计的精度,而且其估计性能和计算效率优于传统的EKF。     

亚毫米波系统探测距离分析

本文提出了距离的概率分布函数作为系统的性能指标，提高了系统评价的准确性。     

红外背景干扰研究

根据从许多地区收集来的录象磁带上的图象数据和大量红外图象数据，对红外背景图象内的干扰进行了研究。图象内的噪声是以象元电平为单位的均方根形成计算。图象经过空间滤波处理，对其内的干扰再进行计算。为获得关于红外背景图象的空间频率构成的信息，在滤波和非滤波两种状态下计算了图象的光谱密度，把计算出的干扰值输入数据库取出多组数据并绘图，确定参数量（如天气、背景类型和测量条件等）对干扰电平的影响。     

基于CF的全集成MOSFET—C六阶低通滤波器的仿真分析

本文提出了以电流跟随器ＣＦ为基本电路元件的全集成ＭＯＳＦＥＴ－Ｃ精确连续时间六阶低通滤波器电路，并应用ＰＳＰＩＣＥ－Ⅱ通用模拟电路程序，对其幅频特性和相频特性进行了计算机仿真分析，得出了实用的结论。