A recognition method of vibration parameter image based on improved immune negative selection algorithm for rotating machinery

To overcome the limitations of traditional monitoring methods, based on vibration parameter image of rotating machinery, this paper presents an abnormality online monitoring method suitable for rotating machinery using the negative selection mechanism of biology immune system. This method uses techniques of biology clone and learning mechanism to improve the negative selection algorithm to generate detectors possessing different monitoring radius, covers the abnormality space effectively, and avoids such problems as the low efficiency of generating detectors, etc. The result of an example applying the presented monitoring method shows that this method can solve the difficulty of obtaining fault samples preferably and extract the turbine state character effectively, it also can detect abnormality by causing various fault of the turbine and obtain the degree of abnormality accurately. The exact monitoring precision of abnormality indicates that this method is feasible and has better on-line quality, accuracy and robustness.     

Set methods of left-turn waiting zone at signalized intersection

To maximize the number of vehicles passing by the stop-line in a cycle and improve the operation efficiency of intersection in China,the settlement of left-turn lane waiting-zone is becoming prevailing. Based on conflicting-point method,the internal mechanism of left-turn flow after stopping line was analyzed through taking postposition left-turn lane waiting-zone intersection for instance. The relationship between the first left-turn vehicle and the last vehicle of previous phase passing the conflicting point was expounded. According to the time of successive arriving of two vehicle flows at conflicting-point,the reasonable layout for waiting area of left-turn vehicles was researched when the clearance index was less than 0. The results suggest that the appropriate layout for waiting area of left-turning vehicles can improve the operation efficiency of intersections.     

用于绕线机的无刷电机驱动的计算机控制

首先介绍了用于绕线机的无刷电机驱动系统构成,分析了其工况特点,在此基础上提出了系统的计算机控制策略以及实现方法,讨论了无刷电机的速度闭环控制和电子刹车问题,最后简要报告了系统的调试情况.     

纯低温余热发电模型的研究

根据系统动力循环原理及工质循环发电的特点,组建了纯低温余热发电系统模型,并对EHD蒸发器,冷凝器等进行了设计,并在此基础上提出了应综合考虑"吨熟料余热发电量"和"混合热效率"来评价纯低温余热发电效率,该模型在纯低温余热发电工程中具有推广价值.     

对独立／依瓦自我构念与跨文化交际障碍成因研究的思考

文中将心理学所提出的自我构念理论融入到了跨文化交际障碍成因的研究中,通过对跨文化交际案例的分析说明自我构念的不同会对跨文化交际产生影响．若对自我构念缺乏正确认识和理解则会产生消极影响,易形成自我中心论和盲目崇拜论的误区,最终导致跨文化交际障碍,引发交际冲突．     

A power-aware code-compression design for RISC/VLIW architecture

We studied the architecture of embedded computing systems from the viewpoint of power consumption in memory systems and used a selective-code-compression (SCC) approach to realize our design.Based on t...     

动态饱和鉴相鉴频器

在鉴相鉴频器的复位路径中插入可变延迟单元,利用反馈动态调节延迟时间,可消除死区并且不受环境变化的影响;采用多级鉴相鉴频器,可扩展鉴相鉴频器的工作范围,改善输入输出的非线性,提高鉴相鉴频性能。文章综合两者的优势,提出了一种动态饱和鉴相鉴频器,并把其应用在锁相环中,结果表明该电路在增加的功耗开销小于0.44%的情况下,使得锁相环的锁定时间减小了14%。     

AADL 测试模型的构造研究

目前,结构分析和设计语言AADL在任务关键嵌入式系统领域有着良好的应用.为了保障任务关键软件的质量,文章提出基于AADL测试模型对AADL设计模型进行测试,以发现设计模型中存在的错误.研究给出了体现系统拓扑结构的AADL测试模型的形式定义及由AADL构造该测试模型的算法,基于该测试模型可以对AADL设计模型中构件交互的输入、输出端口序列和连接的正确性进行测试,并以飞行控制系统的AADL设计模型为例,阐释了研究成果.     

壁湍流周期性吹吸减阻的实验研究

为了研究局部周期性吹吸小扰动对湍流边界层的影响和湍流相干结构减阻控制机理,用实验方法研究了局部周期性吹吸小扰动与湍流边界层的相互作用.采用热线测速技术精细测量了施加吹扰动前后平板湍流边界层不同法向位置的流向、法向和展向速度分量的时间序列信号;通过测量扰动源下游近壁区域平均速度剖面的变化,发现在扰动下游一定空间范围内,粘性底层增厚和壁面减阻;通过对湍流度变化的分析,发现扰动影响猝发的发生;此外通过对展向平均涡量变化的分析发现,在扰动下游形成了2个定常的、强度相似的、大尺度的展向涡,它们起到流体滚动轴承的作用,减小了壁面摩擦阻力.