摘要
基于轨道车辆动力学的频域模型对悬挂元件的状态监测问题展开讨论。以二系垂向悬挂元件故障为例,应用聚类经验模型分解方法(EEMD)分析悬挂元件故障对车体加速度的影响,并基于转向架与车体之间的动力学联系,设计了状态监测算法。研究结果表明:悬挂元件的故障发生在前转向架或后转向架对车辆动力学特性造成的影响不同,有必要对前、后转向架的悬挂元件分别建立状态监测变量;数值仿真试验说明,本文设计的悬挂元件状态监测算法能有效识别分属前、后转向架悬挂元件的工作状态,满足实时状态监测的要求。
We have studied the health monitoring of the secondary suspension of the rail vehicle based on its frequency model. Firstly, we used ensemble empirical mode decomposition to study the acceleration of the carbody, and the analysis results show that the location information of the fault suspension is helpful for us to design the health monitoring algorithm. Secondly, we have designed the health monitoring algorithm for the secondary vertical suspension, which can give a estimation of the characterization parameter of the secondary vertical suspension. The numerical simulation examples show that the designed algorithm is effective.
出处
《铁道机车车辆》
2008年第2期1-5,共5页
Railway Locomotive & Car
基金
2007年国家自然科学基金重点资助项目(1063080)
