2011 Volume 42 Issue 5 Pages 1029-1034
Running TPA using principal component regression is a method to obtain contributions of sound or vibration sources with small man-hour by using only running data. To improve accuracy of the method, it is important to remove noise component effectively from the calculated acceleration transfer function. In this study, to remove the noise component effectively, significance probability of the principal component was used to select the noise component, and the effectiveness was verified through simple simulation and actual vehicle test. As results, the significance probability method shows more accurately results than those of conventional method at both verifications.
