Classification of flaw severity using pattern recognition for guided wave-based structural health monitoring

•A new method of flaw severity characterization using pattern classification is presented.•We explore advanced analysis techniques for studying multi-mode Lamb wave signals.•Pattern classification provides a formal method of characterizing flaw interaction.•Several feature selection techniques are e...

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Veröffentlicht in:	Ultrasonics 2014-01, Vol.54 (1), p.247-258
Hauptverfasser:	Miller, Corey A., Hinders, Mark K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aircraft - instrumentation Algorithms Aluminum Aluminum - analysis Aluminum - chemistry Classification Equipment Design Equipment Failure Analysis - methods Feature selection Fingerprints Health monitoring (engineering) Lamb waves Materials Testing - methods Pattern classification Pattern Recognition, Automated - methods Plates (structural members) Reconstruction Scattering Ultrasonography - methods
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