基于WT和STFT车辆启动抖动特性时频分析

针对自动启停车辆在启停过程中的抖动问题,为快速有效识别启停抖动的振动特性,提出一种应用小波变换(WT)与短时傅里叶变换(STFT)结合对振动信号进行准确识别的方法。该方法应用小波变换对启停过程中非平稳信号最大振动时刻进行有效处理,应用短时傅里叶变换分析振动信号峰值振幅和频率。仿真分析和试验对比表明,该方法具有有效性和实际应用价值。

Time-Frequency Study on Vehicle Starting Vibration Characteristics Based on WT and STFT

According to the vibration problems of the auto start/stop process in vehicle, based on the combination of wavelet transform (WT) and short time Fourier transform (STFT), an accurate identification of vibration signals method for rapidly and effectively identify the vibration characteristics of the auto start/stop process. In this method, wavelet transform is applied to efficient handing the maximum vibration time of non-stationary signal during the auto start/stop process, the short time Fourier transform is used to analyze the peak amplitude and frequency of the vibration signal. The feasibility and effectiveness of the proposed method is verified by simulation analysis and experiment.