基于改进型近场动力学方法的复合材料单向板变形与破坏分析

针对复合材料单向板的变形与破坏问题,采用经典的键型近场动力学(Peridynamics,PD)理论进行建模分析,利用基体键与纤维键描述单向板宏观各向异性,同时在基体键中引入反映长程力尺寸效应的核函数修正项改进近场动力学本构模型,构建相应的准静态数值求解体系。使用传统PD模型与改进型PD模型对单轴拉伸单向板变形进行定量计算,二者所得计算结果较理论解相对误差分别为3.5%和1.7%,表明改进型PD模型具有更高的定量计算精度。开展含不同角度中心裂纹单向板单轴拉伸破坏试验与数值模拟,二者所得单向板最终破坏形式与破坏特点均吻合,表明当前模型与方法能够有效处理单向板的破坏问题。最后对纤维角度为0°单向板的拉伸破坏过程展开模拟分析,结果表明单向板在前期主要出现基体开裂,当裂纹扩展至夹持区域后,结构出现纤维断裂,最终形成贯穿整个结构的断面导致单向板发生破坏。     

SOFT IMAGE SEGMENTATION BASED ON CENTER-FREE FUZZY CLUSTERING

Image segmentation remains one of the major challenges in image analysis.And soft image segmentation has been widely used due to its good effect.Fuzzy clustering algorithms are very popular in soft segmentation.A new soft image segmentation method based on center-free fuzzy clustering is proposed.The center-free fuzzy clustering is the modified version of the classical fuzzy C-means ( FCM ) clustering.Different from traditional fuzzy clustering , the center-free fuzzy clustering does not need to calculate the cluster center , so it can be applied to pairwise relational data.In the proposed method , the mean-shift method is chosen for initial segmentation firstly , then the center-free clustering is used to merge regions and the final segmented images are obtained at last.Experimental results show that the proposed method is better than other image segmentation methods based on traditional clustering.     

LEACH协议的改进与仿真研究

无线传感器网络由能量受限的节点组成,高效节能的路由算法是路由设计的关键问题。在LEACH算法的基础上,提出了一种新的分簇式路由策略,从簇头个数的确定、簇头选举方法对LEACH算法进行了改进,数据传输方式允许采用多跳方式与基站节点通信,仿真结果表明该算法具有降低网络能耗、延长网络生命周期的优点。     

聚类分析的数据挖掘方法及其在机械传动故障诊断中的应用

采用网格化处理的思想,通过对基于密度的聚类分析方法进行改进,提出了一种新的聚类算法.这种算法通过对齿轮传动系统的故障信号进行测试、对故障类型进行了判定,对不同转速下齿轮传动振动信号进行谱熵计算、并采用网格划分方法将其表示在二维和三维空间分布平面内,可以较好地将正常、裂纹、磨损等类型的故障进行聚类和识别,并通过试验验证表明能够对不同工作状态的齿轮传动信号进行可靠的聚类与区分,聚类率为96%以上.说明该方法对齿轮故障进行区分与诊断是切实可行和有效的.      

基于改进主元分析的故障诊断方法研究

提出了一种主元分析与模糊聚类相结合的故障诊断方法,该方法首先用主元分析方法降维、提取故障特征,并计算出T2值和Q值,若超过阈值说明有故障发生,则用模糊聚类识别故障,具有诊断时间短、准确性高的优点.通过对田纳西-伊斯曼过程的仿真表明了该方法的有效性.     

一种疲劳裂纹损伤的模糊综合评估算法

提出了一种基于模糊综合评判法的飞机蒙皮裂纹损伤综合评估算法.该算法在已检测出裂纹的特征数据的基础上,应用分层聚类的最短距离法对飞机蒙皮铆钉区域进行划分.然后利用层次分析法建立权重集,对影响评价蒙皮裂纹损伤程度的各种影响因素进行权重分配.最后确定评判矩阵,进行模糊综合评判.为维修人员判断裂纹损伤的严重程度提供了科学的依据...     

基于聚类方法提高离场导航精度的可行性研究

为了提高终端区的空域利用效率,探讨提高终端区离场导航精度的可行性是具有重要意义的。通过将从雷达数据中获得的航空器航迹点的坐标信息进行处理、计算,建立了改进的航迹偏差相似度模型,并运用层次聚类法和正态分布参数分析法,分析了使用现有导航设备导航条件下的雷达航迹点数据,证实了在实际的离场飞行阶段,航空器飞行误差远小于现行的导航精度规范规定的导航误差要求,从而证明了提高现有的离场程序的导航精度在一定条件下具有可行性。     

A multi-frame track-before-detect algorithm based on root label clustering for multiple targets

In this paper, a novel multi-frame track-before-detect algorithm is proposed, which is based on root label clustering to reduce the high computational complexity arising by observation area expansion and clutter/noise density increase. A criterion of track extrapolation is used to construct state transition set, root label is marked by state transition set to obtain the distribution information of multiple targets in measurement space, then measurement plots of multi-frame are divided into sever...     

Behavior pattern mining based on spatiotemporal trajectory multidimensional information fusion

Trajectory data mining is widely used in military and civil applications, such as early warning and surveillance system, intelligent traffic system and so on. Through trajectory similarity measurement and clustering, target behavior patterns can be found from massive spatiotemporal trajectory data. In order to mine frequent behaviors of targets from complex historical trajectory data, a behavior pattern mining algorithm based on spatiotemporal trajectory multidimensional information fusion is proposed in this paper. Firstly, spatial–temporal Hausdorff distance is proposed to measure multidimensional information differences of spatiotemporal trajectories, which can distinguish the behaviors with similar location but different course and velocity. On this basis, by combining the idea of k-nearest neighbor and density peak clustering, a new trajectory clustering algorithm is proposed to mine behavior patterns from trajectory data with uneven density distribution. Finally, we implement the proposed algorithm in simulated and radar measured trajectory data respectively. The experimental results show that the proposed algorithm can mine target behavior patterns from different complex application scenarios more quickly and accurately compared to the existing methods, which has a good application prospect in intelligent monitoring tasks.     

基于FAHP与灰色聚类的 航空地面电源车功能损伤状态评估 aaa

针对战损情况下航空地面电源车功能损伤状态评估的问题,以电源车的功能结构层次为基础建立了指标体系,应用改进的模糊层次分析法(Fuzzy Analytical Hierarchy Process,FAHP)法确定了指标权重。建立了灰色聚类评估模型,并提出了指标灵敏度分析方法。针对某型战损电源车的功能损伤状态进行了评估,得出了功能损伤状态聚类评估结果,分析了指标权重变化对评估结果的影响,验证了方法的可行性和有效性。