14. CAE Model Correlation Metrics for Automotive Noise and Vibration Analysis

CAE models have become more and more critical for decision making in various stages of the product development process with less hardware builds and shorten development time. To serve their purpose, it is important to understand the CAE capability of a model. A metric is essential to quantify this capability as well as track its history for improvement over the time. In particular, the noise and vibration sensitivity of a vehicle to a unit force or torque in a wide frequency range is of interest. In this paper, various correlation analysis techniques are applied to the Frequency Response Spectrum data from a CAE model and hardware test to develop a correlation metric. The comparison between Principal Component Analysis, Canonical Correlation Analysis and the developed metrics in this paper is presented. The correlation metrics developed in this paper also matches the subjective evaluation of our CAE capability for different measurement.