基于分布式全光纤传感器的电机故障诊断系统研究

构造了全光纤振动传感系统,可用于对发电机组,飞机发动机等大型电机设备的健康状况监测。全光纤振动传感系统由于传感臂是光纤,属于无源器件,不会受到电磁干扰,其检测到的信号完全是由电机振动产生,且监测的灵敏度极高。克服了传统的加速度传感器容易受到电磁干扰导致信号检测出错的缺点。用全光纤振动传感器对电机的振动进行实时的采集,基于LabVIEW平台对振动信号进行实时的频谱分析,很容易判断电机是否工作正常。该检测系统结构简单,振动检测灵敏度高,能够很好地应用于电机健康状况的监测。     

一种宽频的磁式压电振动能量采集器

基于环境能量采集的压电振动能量采集器为无线传感器和微机电系统的长期供能提供了一种有效解决方案.目前研制的压电式振动能量采集器存在工作频率高,且频带窄的问题.给出了一种通过磁力的引入使其在低频下工作的、宽频的压电振动能量采集器,并搭建了测试系统对器件进行分析测试.在压电悬臂梁上放置永磁铁取代传统的质量块,同时在悬臂梁的上...     

基于ARM9的便携脑血氧监测仪及其以太接口设计

介绍了一种应用双光源的便携嵌入式近红外脑血氧监测设备.该设备采用三星S3C2410A微控制器和以太网控制芯片DM9000A进行软硬件设计,可实现同时对双侧脑组织局部血、氧参数的监测.     

基于汽车振动分析的发动机在线转速实验研究

为方便简易地满足环保检测时对发动机转速测量的实时要求,在比较了传统的测量方法的优缺点后,采用无需拆卸机械的振动检测法.为得到更精确的转速,对振动信号的分析方法进行了设计.首先利用相关分析对采集到的信号进行时域消噪处理,其次在频域利用CZT变换以振动基频附近的较小范围进行窄带分析,软件仿真结果较好地满足了要求.现场实验采集夏利振动信号进行处理,误差分析证明该方法的可行性、实用性,实际应用中用DSP实现,适用于各种车辆.     

异构数据源集成系统查询分解和优化的实现

通用异构数据源集成系统需要集成包括WWW在内的各种数据源,有些数据源既无规则的模式结构,又无强有力的查询功能,给全局查询的分解和优化造成一定的困难.异构数据源集成系统Versatile一方面利用局部动态字典的模板操作构造集成系统全局动态字典,作为查询分解和优化的依据.一方面采用基于缓存和数据源能力的查询分解和优化策略,以便充分利用数据源的查询能力,简化包装器的设计,并取得较高的查询效率.     

ISDN在CERNET校园网中的应用

提出了采用性能价格比极高的 2 B ISDN网络 ,作为 CERNET的第二条网络直通 Internet,该方案采用主代理机和客户机共享的网络模式 ,在不改变原有网络结构的前提下 ,仅需增加一个 UTA和一条 ISDN电话线的硬投入 ,便可实现所有网上机器流畅地在 Chinanet和 Internet上“冲浪”、收发“伊妹儿”等     

Putting it all in the trunk: incremental software development in the FreeBSD open source project

Abstract. Software development in the FreeBSD project is incremental in the sense that a stream of contributions, including bugfixes and minor and major new features, go into a single branch in the repository, the development branch (or 'trunk'), and are required to preserve the software in a working state. This creates a succession of development releases, akin to the practice of frequent releasing argued by Eric S. Raymond in his essay 'The Cathedral and the Bazaar' to be the key to the success of Linux and other open source projects. The positive and negative impact of this approach is discussed based on a survey involving 72 project participants. On the positive side, the data indicate that it creates a highly motivating 'see bug, fix bug, see bug fixed in new release' life cycle, and helps integrate bugfixing with new development. On the negative side, the data indicates that the highly incremental model does not support the development of complex new features.     

基于神经网络的弹性连杆机构振动主动控制

研究基于神经网络的弹性连杆机构振动主动控制方法.介绍了双隐层动态递归神经 网络的数学模型,利用实验数据离线设计了神经网络辨识器与神经网络控制器.采用基于神 经网络的间接自适应控制策略对弹性连杆机构实施了振动主动控制,机构的动力学品质得到 显著改善.实验结果证明了该方法的有效性.     

Point Light Source Estimation from Two Images and Its Limits

In this paper, the performance of parameter estimation of a single static distant point light source from two video images is analyzed in terms of estimation theory. The illumination parameters are the intensity and direction of the light source.In the first part of this paper, estimators from the literature are reviewed. Most recent estimators evaluate as input data two video images as well as the 3D shape and the 3D motion of the visible moving objects.In the second part of the paper, the performance of these recent methods is analyzed. The input data to estimation as well as the inherent input data errors are described by a stochastic observation model. Based on this model, the performance is analyzed regarding the Cramér-Rao theoretical lower bound of estimation error variances. The bound is derived for a variety of cases of scene illumination, object motion and errors in input data. For simplification purpose, the bound is valid only for object motions with the rotation axis lying in the image plane. The analysis shows in which cases which estimation accuracy can be expected with current methods.Finally, a comparison of the bound with one of the recent estimators shows that recent estimators are suboptimal in case of errors in the 3D shape of the objects. In future work, the stochastic observation model presented in this paper can be used to improve illumination estimation.     

自动生成CGI C++/C源程序

主要讨论如何利用软件自动生成ＣＧＩ的Ｃ／Ｃ＋＋源程序。