履带车辆传动系统动态载荷谱信号去噪

Dynamic load spectrum signal de-noising of tracked vehicle transmission

为了满足履带车辆传动系统动态载荷谱编制对采集数据准确性的要求,运用功率谱分析方法获取原始采集载荷谱信号的频率分布,确定了有效信号的频域特性。利用小波分析方法,给出了在通用阈值基础上改进的自适应阈值去噪的计算方法。结合实车动态行驶与换挡过程中的传动特性对实测履带车辆载荷谱信号去噪结果进行了分析。研究结果表明:改进的自适应阈值去噪方法能更好地区分不同频段上的有效信号和噪声信号,在保留中、高频载荷谱信号的前提下具有良好的去噪效果。

In order to satisfy accuracy requirement of testing data for the compiling of dynamic load spectrum of tracked vehicle transmission,the problem of how to deal with the irregular noise,usually existing in the dynamic load spectrum signal,was studied.First,the collected signal is analyzed by power spectrum analysis.The frequency distribution and the characteristics of the load signal were briefly analyzed,and the main distribution range of the useful signal was determined.Then,the wavelet analysis method for dynamic load spectrum signal de-noising was studied,and the calculation method of adaptive threshold developed from universal threshold was presented.Quantificational evaluation based on SNR and MSE,the de-nosing results of typical sine simulation signal with different noise pollution indexes were comparatively analyzed,and the de-noising results of load simulation signal with real noise signal were also comparatively analyzed both using the two methods.Furthermore,combined with the real transmission characteristics in the process of dynamic driving and gear shifting,effective analysis was presented.It shows that the adaptive threshold de-noising method has a better de-noising effect on the premise of keeping useful medium-high frequency dynamic load spectrum signal.