复指数信号模型非线性最小二乘解的几何结构及迭代算法

本文给出了复指数信号模型非线性最小二乘解的几何结构.从分析迭代算法的收敛性态入手得到解的几何结构,将有助于构造十分有效的迭代算法.另外,本文在低信噪比(10dB)及较小频率差(0.02Hz)的情况下,对迭代求解的收敛控制条件进行了研究.     

1,4-二硝基咪唑的合成及其热分解

用二步反应合成1,4-二硝基咪唑(1,4-DN I),即先用乙酸酐对4-硝基咪唑3位上的N进行N-酰化,再通过硫酸-乙酸酐-硝酸钠混合液对酰化产物进行硝化合成1,4-二硝基咪唑,通过正交实验对合成工艺进行了优化,得到了较优的工艺条件:4-硝基咪唑、浓硫酸、硝酸钠、乙酸酐的摩尔比为2∶3∶8∶15,反应温度30~40℃,反应时间3 h。用DSC研究了1,4-DN I的热分解。     

金属有机物分解法制备钛酸铅薄膜

用金属有机物分解法制备了钛酸铅薄膜。研究了成膜的技术条件。一次甩胶可以获得厚约0.1μm均匀、无开裂、无针孔的薄膜,较厚的膜可通过多次甩胶得到。X射线衍射证实,经700℃热处理后,膜呈现四方钙钛矿的单相结构。Rutherford背散射表明,即使在多次甩胶制得的膜中,组份的厚度分布也是均匀的。     

Semi-supervised weighted kernel clustering based on gravitational search for fault diagnosis

Supervised learning method, like support vector machine (SVM), has been widely applied in diagnosing known faults, however this kind of method fails to work correctly when new or unknown fault occurs. Traditional unsupervised kernel clustering can be used for unknown fault diagnosis, but it could not make use of the historical classification information to improve diagnosis accuracy. In this paper, a semi-supervised kernel clustering model is designed to diagnose known and unknown faults. At first, a novel semi-supervised weighted kernel clustering algorithm based on gravitational search (SWKC-GS) is proposed for clustering of dataset composed of labeled and unlabeled fault samples. The clustering model of SWKC-GS is defined based on wrong classification rate of labeled samples and fuzzy clustering index on the whole dataset. Gravitational search algorithm (GSA) is used to solve the clustering model, while centers of clusters, feature weights and parameter of kernel function are selected as optimization variables. And then, new fault samples are identified and diagnosed by calculating the weighted kernel distance between them and the fault cluster centers. If the fault samples are unknown, they will be added in historical dataset and the SWKC-GS is used to partition the mixed dataset and update the clustering results for diagnosing new fault. In experiments, the proposed method has been applied in fault diagnosis for rotatory bearing, while SWKC-GS has been compared not only with traditional clustering methods, but also with SVM and neural network, for known fault diagnosis. In addition, the proposed method has also been applied in unknown fault diagnosis. The results have shown effectiveness of the proposed method in achieving expected diagnosis accuracy for both known and unknown faults of rotatory bearing.     

基于小波模糊熵GG聚类的同调机群识别

针对同调机群识别面临的特征提取片面及计算过程复杂相互制约的问题,提出一种基于小波模糊熵-GG(Gath-Geva)聚类的同调机组识别新方法。根据广域测量系统获取的故障后系统机组功角信息,利用多尺度小波分解将功角摇摆曲线分解为整体趋势和细节信息,计算各个尺度小波系数的模糊熵,并作为发电机的特征向量,再通过GG模糊聚类算法对其进行同调聚类。对IEEE 39节点系统和某实际电网进行仿真,算例分析结果表明所提方法能够根据故障后系统机组功角信息的变化更新功角数据库,实现快速准确的同调机群识别。     

M带正交小波的构造

设{g(x-n):n∈Z}是L2(R)的规范正交系,Fl(z)=∑n∈Zfl(n)z-n,l=0,1,…,M-1,是M个滤波器(M 2),定义l(x)=M∑n∈Zfl(n)g(Mx-n),l=0,1,…,M-1。考虑了在什么条件下,{l(x-n):n∈Z;l=0,…,M-1}构成span{Mg(Mx-n):n∈Z}的规范正交基。给出了一个定理,该定理描述了与前面所述的"规范正交基底性"相等价的条件。在这些等价性条件的指导下,讨论了M通道的Haar,Shannon,和Meyer滤波器组以及与之相联系的M带正交小波,构造了正交的M带Haar,Shannon,及Meyer小波。     

基于分层加权的多边形图形匹配

提出了一种适用凸凹多边形匹配的分层加权测度方法，在此方法中，对凹多边形、首先进行基于提取凸多边形的模式分解，对凹多边形添加辅助线，形成新的外接凸多边形、通过依次抽取外接凸多边形，将凹多边形表达为仅由凸多边形组成的多层拓扑结构，然后，利用预先定义的互为模板的相似度量准则和分层加权测度模型，计算得到多边形的相似度系数，从而实现凹多边形的匹配和检索。     

基于限邻域EMD的图像增强

提出了基于限邻域经验模式分解(Neighborhood Limited Empirical Mode Decomposition,NLEMD)的图像增强新算法.二维NLEMD是在Huang等人EMD自适应特性基础上通过设定最大邻域(时宽)和采用邻域内局部自适应均值算法代替包络均值算法进行分解,克服以往EMD分解算法出现的灰度斑现象.本文通过NLEMD对图像细节信息的强挖掘能力来获取图像中的高频边缘信息,最后根据剩余量的整体亮度均值和整体亮度对比度自动调整剩余量来调整图像的整体亮度.实验结果证明,与以往传统增强算法相比,本文算法具有更强的细节获取能力和整体亮度可控性,增强效果优于以往传统算法.     

Warranty servicing for discretely degrading items with non-zero repair time under renewing warranty

This paper considers a repair-replacement strategy for a special class of discretely degrading and repairable products under renewing free replacement warranty. Each product may experience N different working states with different exponential hazard functions, before the warranty contract expires. Once the item enters working state i (i = 1, 2, … , N), it can either fail or move to any of the subsequent working states with different probabilities, given that a transition has been made. In the former case, the best rectification action, replacement or minimal repair, regarding the failure status, i.e., the product degradation level at the failure time and the remaining warranty time, should be conducted to put the item into operation. It is assumed that replacement of the faulty item occurs instantly and the product warranty is renewed, but non-zero repair time has been included in the model. We derive the optimal replacement-repair policy to minimize the manufacturer’s expected warranty servicing cost per item sold. The Adomian decomposition method is used to find an analytic approximate solution for a special case with two working states. For N > 2, a simulation based optimization method has been developed to analyze the expected warranty cost. Some numerical examples in each section are given to clearly demonstrate the application of this model.     

ZnAl_(13)Cu_7MgSb锌合金时效组织和性能

研究了 Zn Al1 3Cu7Mg Sb锌合金经固溶处理和时效后的组织和性能。结果表明 ,在试验温度范围内 ,时效对该合金有明显的强化效果。时效早期 ,发生α′相的调幅分解 ,导致合金的硬度、σb 达到最大值。继续时效 ,调幅组织粗化和颗粒化 ,使合金的硬度、σb下降。时效后期 ,发生 α+ε→ T′+η反应 ,T′相的出现减缓了合金硬度、σb的下降。