目的 研究中国南方快递运输包装车辆的随机振动特性，为随机振动试验研究提供理论指导。方法 实地采集快递运输包装终端配送车辆在实际工况中遭受的随机振动信号，通过经验模态分解，对各固有模态函数(IMF)的时域、功率谱密度、Hilbert时频谱、Hilbert边际谱等进行分析。结果 经验模态分解将运输包装随机振动信号按频率高低依次分解成若干IMF分量，前若干IMF分量代表原始信号中的高频瞬态振动信号，后若干IMF分量代表原始信号中的低频振动信号，进而实现高频与低频振动信号的有效分离。结论 希尔伯特-黄变换适用于快递运输包装随机振动信号的分析研究，将在振动信号中间歇性的、加速度幅值较大且持续时间短暂的高频冲击信号进行分离，为运输包装随机振动信号模拟提供新思路，并对产品包装防护设计具有一定的理论指导意义。

The work aims to analyze the vibration characteristics of the express transport packaging vehicles in south China to provide theoretical guidance for the research of random vibration test. Vibration signal of one terminal delivery is measured for Hilbert Huang Transform. The instinct mode functions decomposed by empirical mode decomposition method are analyzed in aspects of time domain, power spectral density and Hilbert spectral. Empirical Mode Decomposition decomposes random vibration signals of transport packaging into several IMF components in order of frequency. It is very likely that the first several IMFs represent the high-frequency instantaneous events, while the second several IMFs represent the low-frequency vibration signals of the original signal. Thus, the high frequency and low frequency vibration signals can be separated effectively The results show the applicability of HHT for random vibration on express logistics packaging. The impulsive shock events with big amplitude and short duration, which buried in vibration, can be extracted.