软件无线电技术在铁路数据移动接入系统中的应用

目前列车与地面安全监控系统双向数据实时传输问题已成为铁路安全监控系统进一步发展的瓶颈环节。建立移动体和固定体之间的信息通道越来越引起人们的关注。从软件无线电技术基本理论和技术特点出发，介绍了将该技术应用于铁路数据移动接入系统的实现方法。     

基于LMD-PCA-LSSVM的滚动轴承安全域估计和状态辨识方法

本文将安全域的思想引入滚动轴承的状态监测中,综合利用局部均值分解(Local Mean Decomposition, LMD)、主成分分析(Principal Component Analysis, PCA)和最小二乘支持向量机(Least Square Support Vector Machine, LSSVM),进行了滚动轴承运行状态的安全域估计以及正常和各种故障状态的辨识。首先,按一定的时间间隔将采集正常及各种故障状态的振动数据进行分段,每段数据进行LMD后获得各乘积函数分量;其次,基于各段数据的乘积函数分量,利用PCA提取出每段数据的T2和SPE统计量控制限值作为滚动轴承的状态特征量;最后,利用二分类的LSSVM进行滚动轴承运行状态的安全域估计,利用多分类LSSVM进行滚动轴承的正常以及滚动体、内圈、外圈故障四种状态的辨识。试验结果显示安全域估计和多种状态辨识的准确率均较高,验证了本文方法的有效性。     

智能化高效工业窑炉控制与管理系统

介绍了新一代的工业窑炉（锅炉）多变量模糊控制与智能管理系统,它以先进的多变量模糊控制技术为核心,综合了成熟的工业控制机硬件技术,网络通令技术和面向对象软件编程技术,可有效控制工业窑炉（锅炉）的燃烧过程,加强现场管理水平,从而达到提高窑炉产品质量、节能和污染控制等目的。不同类型工业窑炉（锅炉）的实际应用证明了该系统的先进、成熟的可行性性,具有显著的运行效果。     

Road traffic states estimation algorithm based on matching of regional traffic attracters

To effectively solve the traffic data problems such as data invalidation in the process of the acquisition of road traffic states, a road traffic states estimation algorithm based on matching of the regional traffic attracters was proposed in this work. First of all, the road traffic running states were divided into several different modes. The concept of the regional traffic attracters of the target link was put forward for effective matching. Then, the reference sequences of characteristics of traffic running states with the contents of the target link＇s traffic running states and regional traffic attracters under different modes were established. In addition, the current and historical regional traffic attracters of the target link were matched through certain matching rules, and the historical traffic running states of the target link corresponding to the optimal matching were selected as the initial recovery data, which were processed with Kalman filter to obtain the final recovery data. Finally, some typical expressways in Beijing were adopted for the verification of this road traffic states estimation algorithm. The results prove that this traffic states estimation approach based on matching of the regional traffic attracters is feasible and can achieve a high accuracy.     

Calculation of railway transport capacity in an emergency based on Markov process

A method is proposed to calculate the railway transport capacity in an emergency to support the dispatching work of control centers.The effect of an emergency on section transport capacity is analyzed and the basic method to calculate the transport capacity is presented.The results show that the situation-changing process in emergency is actually a Markov process.The calculation rule is presented based on division of the time segment during which the emergency lasts.The algorithm is designed to calculate the transport capacity of each time segment.The pessimistic strategy and the fuzzy strategy are proposed to determine the computing value of the transport capacity of each time segment,to satisfy the calculating requirements in different occasions.Our study shows that the method is reasonable and practical and the method can be embedded in the train dispatching system to support the operation work in an emergency.     

新型智能车辆检测仪灵敏度自修复与自校准技术研究

磁阻传感器在强磁场干扰下会导致灵敏度降低,使用环境温度变化会导致零点偏移电压及灵敏度变化,传感器使用的环境磁场也会影响测量结果.为解决上述问题,提高新型车辆检测仪的智能水平,对新型智能车辆检测仪灵敏度的自修复与自校准技术进行了研究,新型智能车辆检测仪采用磁阻传感器作为敏感元件,通过对自修复线圈施加强电流脉冲产生强磁场重新磁化磁阻传感器的方法进行车辆检测仪的灵敏度自修复,通过对自校准线圈多次施加电流产生特定磁场对车辆检测仪的零点偏移电压和灵敏度进行自校准,同时可消除环境磁场对测量结果的影响.针对车辆检测仪强磁干扰后的灵敏度自修复,自校准进行了对比实验.实验结果表明,采用的方法能够对智能车辆检测仪的灵敏度进行自修复和自校准.     

MKB7025数控磨床在CRTSII型轨道板打磨过程中的应用技巧

1施工概况 京沪高铁是我公司承建的第一条高速铁路,全长110公里的无咋轨道板,施工工期紧,任务量大,总计预制打磨轨道板22000多块,特别是第一次组建施工对我们是很大的挑战,在预制特别是精加工及打磨过程遇到了很多难题,严重滞后的打磨时间更是给后期的施工增加了难度,经过几个月的研究实践为后期施工取得了很大的进展。     

面向范畴类型数据的sIB算法

 本文针对sIB算法仅适用于共现数据的问题,提出了一种能够自动进行范畴类型数据分析的sIB算法:CD-sIB.该算法根据范畴类型数据的离散化表示、不同属性值有限的特征,进行数据的属性的拓展和二元化处理,基于属性值的出现进行X,Y的联合分布的计算,使得sIB算法可有效应用于范畴类型数据的分析.实验结果表明:CD-sIB算法相对于现有的面向范畴类型数据聚类模式分析的算法GAClust和K-modes具有明显的优势;CD-sIB算法在进行数据属性概化程度高、类数据分布相对平衡的范畴类型数据的分析中,在效率和精确度方面均很突出.     

基于LMD-CM-PCA的滚动轴承故障诊断方法

为提高在非平稳工况下对滚动轴承故障的直观辨识能力,笔者提出基于LMD-CM-PCA的故障诊断方法。首先,对滚动轴承振动信号进行局部均值分解(local mean decomposition,简称LMD),提取乘积函数(product function,简称PF)矩阵;然后,计算PF矩阵与原振动信号的皮氏相关系数(pearson product-moment correlation coefficient,简称PPCC),将PFs对应的PPCC代入相关熵模型得到PF的相关熵矩阵(correntropy matrix,简称CM),CM经主成分分析(principal component analysis,简称PCA)进行特征变换得到融合相关熵矩阵(integrated correntropy matrix,简称ICM)。分别在轻微和严重故障时,对滚动轴承不同工况下的振动样本进行交叉混合,并计算其ICM。结果证明,ICM在可视维度比传统特征(如:能量矩和谱峭度)的融合特征更能隔离工况对故障可分性的干扰。LMD-CM-PCA方法为滚动轴承故障的直观辨识提供了技术支持,在故障诊断方面具有良好的应用前景。     

一类新的粒子群算法

提出一种新的模糊粒子群优化算法---收敛模糊粒子群优化算法.重点研究了收敛因子的确定和模糊隶属度函数的选择对算法性能的影响.在考虑计算效率的同时,提高了算法的精度.利用4个基准函数测试了收敛模糊粒子群优化算法的性能,并与模糊粒子群优化算法$收敛粒子群优化算法以及基本粒子群优化算法进行了对比.实验结果表明#新算法具有很好的性能.