Research on the Denoising Effect of Vibration Signals of Different Vehicle Models Based on Road Traffic Data

随着国内汽车数量的增加，城市交通面临着各类交通压力，地铁、车辆等交通工具运行引起的环境振动及其噪声问题，都有可能影响到周边人们的生活和工作，对设备造成不可忽视的影响。为去除交通工程中的噪声干扰，提出了一种基于小波分析去噪算法，本文以日常生活中典型的车辆(大货车)所产生的振动信号为研究对象，利用ABAQUS建立了振动响应模型，将实测数据作为振源输入，并与去噪后的数据与做频域能量对比分析，利用MATLAB软件对含噪声的振动信号进行时频分析和去噪研究。With the increase in the number of cars in China, urban transportation is facing various traffic pressures. The environmental vibrations and noise caused by the operation of transportation vehicles such as subways and vehicles may affect the lives and work of people around them, and have an undeniable impact on equipment. To remove noise interference in traffic engineering, a wavelet analysis based denoising algorithm is proposed. This paper takes the vibration signals generated by typical vehicles (large trucks) in daily life as the research object, establishes a vibration response model using ABAQUS, takes the measured data as the vibration source input, and compares it with the denoised data for frequency domain energy analysis. MATLAB software is used to conduct time-frequency analysis and denoising research on vibration signals containing noise.