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DOE OSTI · 2329238

Evaluation of machine learning and finite-element modeling methods for defect localization using demonstration vibration data

Geimer, Paul Richmond·Delorey, Andrew A.·Ulrich, II, Timothy James
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Abstract

This brief report provides an update on FY24 efforts from the Acoustics team in the Instrumentation and Sensors technical area at Los Alamos National Laboratory to evaluate suitable data processing and modeling techniques for vibration-based defect localization.

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47 OTHER INSTRUMENTATION97 MATHEMATICS AND COMPUTINGNeural NetworkNondestructive Evaluation

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Geimer, Paul Richmond, Delorey, Andrew A., Ulrich, II, Timothy James. 2024-03-26. Evaluation of machine learning and finite-element modeling methods for defect localization using demonstration vibration data. https://doi.org/10.2172/2329238

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