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CAE Model Correlation Metrics for Automotive Noise and Vibration Analysis

机译：CAE模型汽车噪声与振动分析的相关度量

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摘要

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.
机译：CAE模型对于在产品开发过程的各个阶段的决策方面变得越来越重要，硬件构建较少，缩短开发时间。为了满足他们的目的，重要的是要理解模型的CAE能力。度量标准对于量化此功能以及追踪其历史，以便随时改进。特别地，车辆在宽频率范围内的单位力或扭矩的噪声和振动敏感性是感兴趣的。在本文中，各种相关性分析技术从CAE模型和硬件测试应用于频率响应频谱数据以开发相关度量。提出了本文主成分分析，规范相关分析和发达度量的比较。本文开发的相关指标还与我们的CAE能力的主观评估相匹配，以进行不同的测量。

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