期刊文献+

基于matlab/simulink的车辆建模与故障分析 被引量:9

The Analysis of Vehicle Model Establishment and Malfunction Based on Matlab/Simulink
在线阅读 下载PDF
导出
摘要 利用matlab/simulink软件,用框图和子系统封装的方法建立铁道车辆线性动力学模型。在路面激励作用下,经过仿真测得车体及转向架在正常运行和悬挂故障时不同的振动加速度响应,重点分析了在垂向一、二系悬挂故障时,检测信号在时域和频域上各自具有的故障统计特性,同时考查了不同位置悬挂故障叠加、轨道随机不平顺和车辆运行速度对数字特征的影响,并提出以振动加速度统计特性来判别悬挂故障的方法。 A lifiear dynamic model of railway vehicles, which adopts the method of block diagram and subsys-tem package, is firstly established in the matlab/simulink software. Under the effect of road excitation, the vibrating accelerations of body and bogie are then separately measured in normal and ineffective operations of suspension by simulation. For the first or second series of suspension malfunctions, the detectable signal has its own statistical characteristics in failure. The study shows that the superposition of different locations' failed sus-pension, random irregularity on rail and train' s velocity have an effect on digital characteristics. Finally, the pa-per also puts forward a method of determining suspension failure based on statistical characteristics of vibrating acceleration.
作者 颜秋 刘永明
出处 《华东交通大学学报》 2012年第5期13-17,共5页 Journal of East China Jiaotong University
关键词 铁道车辆 SIMULINK 悬挂故障 故障判别 railway vehicles simulink suspension failure malfunction judgment
  • 相关文献

参考文献7

二级参考文献32

共引文献116

同被引文献61

  • 1肖成勇,石博强,冯志鹏.基于EEMD和进化支持向量机的齿轮混合智能诊断方法研究[J].机械科学与技术,2015,34(1):86-89. 被引量:8
  • 2王晓原,隽志才,贾洪飞,孟昭为.基于安全间距的车辆跟驰模型研究综述[J].长安大学学报(自然科学版),2004,24(6):51-54. 被引量:32
  • 3陈果,翟婉明,左洪福.车辆—轨道耦合系统随机振动响应特性分析[J].交通运输工程学报,2001,1(1):13-16. 被引量:23
  • 4王方程,迟宝全.平轮在线自动检测方法综述[J].城市轨道交通研究,2006,9(1):31-33. 被引量:6
  • 5温泽峰,金学松.钢轨波浪形磨损研究[J].中国铁道科学,2007,28(1):136-138. 被引量:22
  • 6Omar F K,Gaouda A M.Dynamic Wavelet-based Tool for Gearbox Diagnosis[J].Mechanical Systems and Signal Processing,2012,26:190-204.
  • 7Kim E,Lee Y,Lee S.Health Monitoring of a Glass Transfer Robot in the Mass Production Line of Liquid Crystal Display Using Abnormal Operating Sounds Based on Wavelet Packet Transform and Artificial Neural Network[J].Journal of Sound and Vibration,2012,331(14):3412-3427.
  • 8Lei Yaguo,He Zhengjia,Zi Yanyang.EEMD Method and WNN for Fault Diagnosis of Locomotive Roller Bearings[J].Expert Systems with Applications,2011,38(6):7334-7341.
  • 9Zhang Jian,Yan Ruqiang.Performance Enhancement of Ensemble Empirical Mode Decomposition[J].Mechanical Systems and Signal Processing,2010,24(7):2104-2123.
  • 10?vokelj M,Zupan S,Prebil I.Non-linear Multivariate and Multiscale Monitoring and Signal Denoising Strategy Using Kernel Principal Component Analysis Combined with Ensemble Empirical Mode Decomposition Method[J].Mechanical Systems and Signal Processing,2011,25(7):2631-2653.

引证文献9

二级引证文献46

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部