【摘要】 测定了不同工况下车内噪声信号和车架车身等处的振动信号,利用D aubech ies小波函数对噪声信号和振动信号做小波变换,获取信号能量分布的特征向量和相关系数,确定两种信号相关程度,根据相关系数大小识别车内振动、噪声源,经过识别发现发动机为该车的主要振动噪声源。试验表明,该方法比传统的分析方法更为简单、有效。更多还原

【Abstract】 The noise signals in a light bus and vibration signals from the frame and the body are tested.The method is to obtain the eigenvector and correlation coefficent of signal energy distribution,and to determine the two signal correlativity by using the Daubechies wavelet functions to analyze the noise signals and vibration signals.The noise and vibration source are identified with the correlation coefficent.The engine is the main noise and vibration source of the vehicle with identification.Experiment results show that the method is more simple and effective than the traditional one in indentification of noise and vibration source of automobiles.更多还原