摘要
利用三级小波包分解,获取车辆各工况下信号能量分布的特征向量,根据信号能量分布的特征向量相关系数,确定两种信号相关程度,从而达到寻找各工况对车内总声压贡献最大的振动部件,为下步的减振降噪提供依据。该方法用于车辆噪声、振动源识别比传统的分析方法更为简单、有效。
A method of identifying signals in different cases is given in this paper.The method is to obtain the eigenvector of signal energy by using the solution of three grade of the wavelet packets, to determine the two signal correlativity with the correlation coefficient of the signal energy distribution, to identify the component that contributes most to sound pressure of the interior according to the coefficient This method is simpler and more effective than traditional one in identification of noise and vibration source of automobiles.
出处
《柴油机设计与制造》
2006年第4期12-16,共5页
Design and Manufacture of Diesel Engine
关键词
车辆
噪声识别
振动
小波包
automobile, noise identification, vibration, wavelet package
