Estimation of access failure probability in D2D underlaid cellular networks

Device-to-Device (D2D) communication can reduce the mobile devices' energy consumption and increase the spectral efficiency in D2D underlaid cellular networks. However, D2D users will interfere with co-channel cellular users, which can lead to cellular communication access failures. There are two reasons for cellular communication access failures: (1)D2D interference and (2)insufficient spectrum resources. To address the absence of research on the performance of cellular services' access in D2D underlaid cellular networks, this paper defines the new services' access failure probability and handoff services' access failure probability to evaluate the effect of both D2D interference and limited resources on cellular communication access. Based on the stochastic geometry and stochastic process, a random network model is presented to estimate the access failure probabilities, which can provide guidelines for network design to ensure cellular services' access. The accuracy of the estimated access failure probability is validated through extensive simulations.     

中厚板轧机工作辊失效分析及对策

介绍了济钢中厚板厂使用国外高镍铬和高铬工作辊的主要失效形式 ,并对该工作辊的断裂和裂纹产生原因进行了分析 ,同时针对所存在的问题提出了对策和具体改进措施。     

Predicting teamwork results from social network analysis

Modelling students' behaviours has reached a status that can only be overcome by improving the ability of predicting the results on teamwork. Indeed, teamwork is an important piece on the learning process, but understanding their mechanisms and predicting the results achieved is far from being solved by traditional classifiers. In this paper, we address the problem of predicting teamwork results, and propose a recommender system that suggests new teams, in the context of a given curricular unit. Any student, who is looking for a team, may use the system; in particular, he may ask for the best team to join, either considering all available colleagues or just the set of his previous teammates. Our system makes use of social network analysis and classification methods as the algorithmic core of the decision‐making process. System evaluation is presented through a set of experimental results, which report the performance of social network analysis and classification algorithms over real datasets.     

某一转炉或精炼炉故障下炼钢-连铸生产重调度方法及应用

炼钢-连铸生产中会出现某一台转炉或精炼炉故障, 目前已有的重调度方法没有考虑多重精炼或只进行了仿真研究, 难以有效应用到具有多重精炼的钢厂, 而采用人工调整方式则容易导致炉次等待时间过长或断浇. 为此,通过引入炉次生产状态参数, 建立0-1 混合整数规划重调度模型, 提出由“未加工”炉次的设备指派、“未加工”炉次的开工时间优化和浇铸时间调整3 部分组成的重调度方法. 将该方法应用于某钢铁厂炼钢-连铸生产调度过程的实际工程应用验证了所提出方法的有效性.

     

基于MFCC特征提取的故障预测与评价方法

针对渐变故障的准确预测问题,提出了一种基于Mel频率倒谱系数(Mel frequency cestrum coefficient,MFCC)特征提取的故障预测方法.首先通过监测对象上安装的声传感器获得机器当前运行的声音信号;然后声音信号经过预处理后,将其进行Mel变换,获得其MFCC特征向量;最后经SVM分析器对机器运行时的测试数据和所存机器正常运行样本数据进行聚类分析,给出机器的健康评价.测试了海马M3发动机存在撞击声、轻敲声、轰鸣声时的健康度以及分析了采集的声信号存在噪声时的抗噪性能.实验结果表明,MFCC特征值能够作为机器健康预测的特征向量,且方法在预测的准确性和鲁棒性方面具有优势.     

影响装配可靠性关键故障源提取方法*

针对产品在装配过程中可靠性低,产品故障频发及故障源多样性的问题,引入信息熵理论,首次提出“可靠度熵”的概念,对影响装配过程可靠性的故障源进行定量分析。建立可靠度熵的综合评判矩阵,结合专家打分法对可靠度熵综合权重进行评价和排序,同时结合客观性强的粗糙集对故障源进行属性约简,提取出影响装配过程可靠性的关键故障源。采取预防及改进措施减少故障源的发生,从而保证装配过程可靠性。以数控磨床的砂轮架为例,验证了上述方法的可行性和正确性。     

洪水位变化对岸滩稳定性的影响

为了较全面地了解洪水涨落对岸滩崩塌的影响,本文通过对洪水期岸滩受力分析,结合岸滩土体性质和洪水浸泡岸滩特点,给出洪水期岸滩稳定系数;进而分析了洪水降落期岸滩稳定性变化,指出洪水骤降时,长期洪水浸泡后黏土岸滩稳定系数将会大幅度减小;在洪水缓慢降落时,黏性岸滩稳定性减小,但减小幅度小于骤降的情况。通过分析对比洪水上涨、洪水浸泡和洪水降落等不同过程的稳定性,指出洪水迅速上涨期岸滩稳定性最好,依次为洪水缓慢上涨期、洪水浸泡期和洪水缓慢下降期,洪水骤降期岸滩稳定性最差。     

显微红外热成像技术在故障定位中的应用

电子元器件是整机的基础,在装备的生产和使用过程中,元器件工作异常将影响整个装备的正常运行,元器件发生故障时,必须迅速、准确地进行故障分析和失效定位,避免军用装备在关键时刻发生故障。显微红外热成像技术是一种对电子元器件的微小面积进行高精度非接触的测量,能够显示元器件的反常热分布,暴露不合理的设计和工艺缺陷。论文介绍了显微红外热像仪的原理及特点,举例说明了显微红外热成像技术在失效分析故障定位中的应用,对元器件的故障失效分析和有效性检测提供了指导作用。     

探讨计算机网络故障分析及维护

计算机网络高度普及,已经成为生活中不可或缺的一部分,网络维护在计算机网络系统中有着重要地位,对于计算机网络故障的分析和研究是十分有必要的。对网络进行及时有效的维护,保障网络安全运行,分析计算机网络应用中的故障,并且结合具体的工作实践,加强计算机网络故障查处及维护有利于进一步提高计算机网络的运行质量。     

以可靠性为中心的水轮机组检修模式研究

以可靠性为中心(RCM)的维修模式是在一般视情维修的基础上,吸收以可靠性为中心的维修分析法的优点,充分考虑到经济性、可靠性原则,并与先进的设备诊断技术相结合的一种维修模式。介绍了水轮机组RCM维修模式,重点分析了根据经济性和可靠性原则分别确定隐患检测间隔期,以及用威布尔分布拟合机组零部件故障间隔时间分布的表示及参数的获得。