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dc.contributor.authorWang, W-
dc.contributor.authorMottershead, JE-
dc.contributor.authorMares, C-
dc.identifier.citationJournal of Physics: Conference Series, 2009, 181 (1)en_US
dc.description.abstractThe most widely used method for comparing mode shapes from finite elements and experimental measurements is the Modal Assurance Criterion (MAC), which returns a single numerical value and carries no explicit information on shape features. New techniques, based on image processing (IP) and pattern recognition (PR) are described in this paper. The Zernike moment descriptor (ZMD), Fourier descriptor (FD), and wavelet descriptor (WD), presented in this article, are the most popular shape descriptors having properties that include efficiency of expression, robustness to noise, invariance to geometric transformation and rotation, separation of local and global shape features and computational efficiency. The comparison of mode shapes is readily achieved by assembling the shape features of each mode shape into multi-dimensional shape feature vectors (SFVs) and determining the distances separating them. © 2009 IOP Publishing Ltd.en_US
dc.subjectModal Assurance Criterionen_US
dc.subjectZernike moment descriptoren_US
dc.subjectFourier descriptoren_US
dc.subjectWavelet descriptoren_US
dc.titleShape descriptors for mode-shape recognition and model updatingen_US
dc.relation.isPartOfJournal of Physics: Conference Series-
Appears in Collections:Dept of Mechanical Aerospace and Civil Engineering Research Papers

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