为监测高速列车的运行状态,采用多重分形分析列车振动监测数据,提取一种基于多重分形理论的广义维数谱参数(谱最大值Dmax、谱最大值与最小值之差△D和谱均值-D),以3种广义维数谱参数作为特征量,实现对列车正常状态、空气弹簧失效、抗蛇行减振器失效和横向减振器失效状态的表征.实验结果表明,Dmax、△D和-D均能够表征高速列车的运行状态且具有一定稳定性,为高速列车运行状态的识别提供了一种有效的方法.
To monitor the operating status of high-speed trains, the train vibration monitoring data were analyzed and generalized dimension spectrum parameters (spectrum maximum Dmax , the difference between the spectrum maximum and spectrum mini- mum AD and spectrum mean D ) were extracted using multifractal theory. Three generalized dimension spectrum parameters were used to achieve the characterization of four kinds of state of train including the normal state, the air spring failure, the yaw damper failure and the lateral damper failure. The experimental results confirm that three parameters ( Dmax , △D, D ) can characterize the operating state of the high-speed train and have certain stability. The parameters are used as features to discern the operating state of the high-speed train.