Supervisory Control of Fuzzy Discrete Event Systems Based on Agent

Introduction There are many complicated systems in theworld that can not be represented by differentialequations and so on, but they can be describedqualitatively by event sequences that lead to thetransition of the system states indirectly, so itbrings o…     

交通流状态辨识小波算法研究

针对智能交通系统的开发和交通流特性，应用小波多分辨分析理论的Mallat分解算法建立交通流状态辨识方法，利用多种小波系数与交通流参数之问的相应变化规律进行交通突变状态的辨识．交通流状态的突变多与交通事件直接相关，故采用事件和非事件条件下的模拟数据对算法参数进行了标定及离线测试．将算法与几种传统算法分别进行了性能比较，结果表明Mallat分解算法在交通流突变状态实时辨识方面具有很好的性能．     

The Simulation and Characteristic Study of Wind Velocity for Long-Span Structures

The new technique that combines wave superposition with the fast Fourier transformation was introduced to simulate the nodal three-dimension relevant wind velocity time series of spatial structures. The wind velocity field where the spatial structure is located is assumed to be homogeneous. The wind‘s power spectral density is divided into frequency spectral function and coherency function and the spectral functions are transformed as the superposition coefficients. The wavelet analysis has excellent localized characters in both time and frequency domains, which not only makes wind velocity time series analysis more accurate, but also can focus on any detail of the objective signal series. The discrete wavelet transformation was adopted to decompose and reconstruct the discrete wind velocity time series. The stability of wavelet analysis for the wind velocity time series was also proved.     

基于小波变换的ARPA目标机动识别及轨迹预测

对目标机动的识别关系到目标轨迹外推的准确性，由于噪声的影响，机动引起的机械能的变化淹没在噪声中．小波分析可以在一定程度上将淹没在噪声中的机械能变化揭示出来，提高轨道机动的识别能力．利用二进小波在不同尺度下分析机械能随时问的变化，尺度由小至大时，信号含量增加，噪声受到抑制．观察小波系数曲线随小波分析尺度的变化趋势就可以快速判定是否存在轨道机动．文中运用小波分析对目标的各种机动建立了识别方法，并利用较新的小波分解预测方法，对含目标机动的重构信号建立了轨迹外推方案．     

胎鼠与成鼠脊髓蛋白质组图谱的构建及其差异分析

目的初步建立并优化用于脊髓组织蛋白质组分析的双向电泳技术。应用双向电泳技术建立胎鼠与成鼠脊髓蛋白质组图谱,并对两者的差异进行比较,从整体水平上探究成鼠脊髓丧失再生能力的蛋白质基础。方法以大鼠脊髓为研究对象,应用以固相pH梯度等电聚焦为第一向、均一水平十二烷基硫酸钠-聚丙烯酰胺凝胶电泳为第二向的双向电泳体系,对样品制备、电泳参数、染色等技术环节中影响双向电泳分辨率的关键因素进行一系列的优化。采用ImageMaster 2D Elite图像分析软件对获得的胎鼠与成鼠脊髓蛋白质组2-DE图谱进行图像分析,比较两者在蛋白质组表达上的差异。结果在此优化的实验条件下,获得了质量较好的脊髓组织蛋白质组双向电泳图谱。胎鼠脊髓蛋白质组图谱经图像分析后,可检测到838个蛋白点,成鼠脊髓蛋白质组图谱可检测到847个蛋白点。对胎鼠与成鼠脊髓蛋白质组匹配差示图谱的分析发现,两者间存在813个差示蛋白。结论通过对各种条件的优化,初步建立了脊髓组织2-DE技术。对胎鼠与成鼠脊髓蛋白质组的比较发现,两者存在明显差异。胎鼠与成鼠脊髓蛋白质组差示图谱的建立,为进一步筛选、鉴定与脊髓再生能力丧失有关的蛋白,并探究其作用机制打下了基础。     

小波变换在轴承故障声发射信号降噪中的应用

噪声消除是小波变换最成功的应用之一，其基本思想是将信号的小波变换系数通过阈值处理，然后进行小波重构得到降躁的信号。根据故障轴承声发射信号的脉冲特性选取Morlet小波．以“小波熵最小”原则确定Morlet小波的波形参数，然后进行连续小波变换。采用软阈值方法处理小波东数，通过小波重构得到降噪后的故障声发射信号，噪声得到了很好的抑制，故障脉冲特征明显增强。采用实验数据，通过与离散小波变换的比较，得到了用连续小波变换可以有效降低噪声、提取故障声发射信号特征的结论。     

Fracture Mechanics for a Mode Ⅲ Crack in a Piezoelectromagnetic Material

Analytical solutions for a Griffith crack inside an infinite piezoelectromagnetic medium under combined mechanical-electrical-magnetic loadings are formulated using integral transform method. The singular stress, elec tric and magnetic fields in the piezoelectromagnetic material are obtained by the theory of linear piezoelectromagneticity. Fourier transforms are used to reduce the mixed boundary value problems of the crack, which is as sumed to be permeable, to dual integral equations. The solution of the dual integral equations is then expressed analytically. Expressions for strains, stresses, electric fields, electric displacements, magnetic fields and magnetic inductions in the vicinity of the crack tip are derived. Field intensity factors and energy release rate for piezoelectromagnetic material are obtained. The stresses, electric displacements and magnetic inductions at the crack tip show the traditional square root singularities; and the electric field intensity factor （EFIF） and the magnetic field intensity factor （MFIF） are always zero.     

基于双参数的管道泄漏检测系统的研究

泄漏检测在油料长输管道安全生产中占有重要的位置,介绍了一种基于压力流量双参数的管道泄漏检测系统的总体设计。其中压力检测利用了负压波法,负压波拐点的提取引入了小波变换理论,对时间及负压波波速的确定提出了解决的方法。提高了泄漏检测灵敏度和定位精度。     

Radar Emitter Signal Recognition Using Wavelet Packet Transform and Support Vector Machines

This paper presents a novel method for radar emitter signal recognition. First, wavelet packet transform （WPT） is introduced to extract features from radar emitter signals. Then, rough set theory is used to select the optimal feature subset with good discriminability from original feature set, and support vector machines （SVMs） are employed to design classifiers. A large number of experimental results show that the proposed method achieves very high recognition rates for 9 radar emitter signals in a wide range of signal-to-noise rates, and proves a feasible and valid method.     

机械变速过程的瞬时参数与频谱分析

为提高机械变速过程中振动信号分析的准确性，通过分析旋转机械的变速测量过程，建立了变速测量方式与信号时变统计特性之间的非线性变换关系，并引入希尔伯特变换确定信号的瞬时参数．结果表明，根据信号的瞬时频率对测量信号进行内插处理，可以消除因变速引起的信号频谱的畸变，准确反映振动信号的频谱特征．