PRACTICAL APPLICATION OF THE MODAL CONFIDENCE FACTOR TO THE POLYREFERENCE METHOD

摘要

The Polyreference method estimates modal parameters from sets of frequency response functions referenced to multiple exciter locations. The method requires little user interaction, except in determining the optimum number of poles to use in computing mode shapes. A recent addition to Polyreference, the Modal Confidence Factor (MCF) assists the user by assigning a value to each pole, which can quickly allow separation of structural modes from computational roots. An extension to MCF using the mode indicator function has resulted in a more automated and straightforward approach for determining the optimum number of poles in the analysis.