摘要
在时-频峰值滤波理论的基础上,提出了振动信号的噪声消减模型和误差控制方法,构建了信号估计误差与窗函数最大长度的关系。在许可估计误差为2%的情况下,对车辆实际线路动力学试验采集得到的振动信号进行噪声消减处理,结果表明,时-频峰值滤波能够很好地消减噪声,增强信号,是一种能有效消减振动信号中随机噪声的滤波方法。
Based on the time-frequency peak value filtering theory,the noise elimination and reduction model and error control method for vibration signals are given,the relation between the estimated error of signals and the maximum length of window function is set up.The vibration signals collected in the dynamics testing of vehicles in the field are processed with noise elimination and reduction,while the estimated permissible error being 2%.The result shows that the time-frequency peak value filtering can eliminate,reduce noise and increase the signals effectively.It is a filtering method that can efficiently eliminate and reduce the random noise in the vibration signals.
出处
《铁道车辆》
北大核心
2010年第6期7-9,共3页
Rolling Stock
关键词
车辆
振动信号
时-频峰值滤波
噪声消减
vehicle
vibration signal
time-frequency peak value filtering
noise elimination and reduction
