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Algorithm for Detection of Real-Time Damage using Acoustic Emissions

Reference #: 01546 The University of South Carolina is offering licensing opportunities for Algorithm for Detection of Real-Time Damage using Acoustic Emissions Background: Other methods of damage detection rely on historical data (meaning that they will need to collect multiple days, weeks, or months of data before they can make a determination...

Published: 9/3/2022 | Inventor(s): Paul Ziehl, Casey Cole

Keywords(s): acoustic emission, Acoustic emissions, classification, damage, decision tree

Category(s): Advanced Materials, Engineering and Physical Sciences