Conditioning of FRF measurements for use with frequency based substructuring
Conditioning of FRF measurements for use with frequency based substructuring
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DOI：
10.1016/j.ymssp.2009.07.013
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发表时间：
2010-02
影响因子：
8.4
通讯作者：
Dana Nicgorski;P. Avitabile
中科院分区：
文献类型：
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作者：
Dana Nicgorski;P. Avitabile
基于频率的子结构方法已被用于从组件数据生成系统模型。虽然数值模型显示出成功的结果，但在许多情况下，实际测量存在许多困难。以前的工作已经确定了一些典型的问题，使用模拟数据来结合通常观察到的特定测量困难以及克服这些困难的方法。本文介绍了利用实验室结构的实际测量数据进行分析和实验研究的结果。显示了各种常用的方法来说明使用测量数据的一些困难。一种新的方法，以更好地条件测量功能和清除常见的数据测量污染物被用来提供显着改善的结果。探讨了几个案例，以显示通常观察到的困难，以及改善条件的测量数据，以获得可接受的结果。
Frequency based substructuring approaches have been used for the generation of system models from component data. While numerical models show successful results, there have been many difficulties with actual measurements in many instances. Previous work has identified some of these typical problems using simulated data to incorporate specific measurement difficulties commonly observed along with approaches to overcome some of these difficulties. This paper presents the results using actual measured data for a laboratory structure subjected to both analytical and experimental studies. Various commonly used approaches are shown to illustrate some of the difficulties with measured data. A new approach to better condition the measured functions and purge commonly found data measurement contaminants is utilized to provide dramatically improved results. Several cases are explored to show the difficulties commonly observed as well as the improved conditioning of the measured data to obtain acceptable results.