Regression analysis of non-contact acousto-thermal signature data

Amanda Criner; Norman Schehl

doi:10.1117/12.2224169

11 May 2016 Regression analysis of non-contact acousto-thermal signature data

Amanda Criner, Norman Schehl

Proceedings Volume 9861, Thermosense: Thermal Infrared Applications XXXVIII; 98610O (2016) https://doi.org/10.1117/12.2224169
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, MD, United States

Abstract

The non-contact acousto-thermal signature (NCATS) is a nondestructive evaluation technique with potential to detect fatigue in materials such as noisy titanium and polymer matrix composites. The underlying physical mechanisms and properties may be determined by parameter estimation via nonlinear regression. The nonlinear regression analysis formulation, including the underlying models, is discussed. Several models and associated data analyses are given along with the assumptions implicit in the underlying model. The results are anomalous. These anomalous results are evaluated with respect to the accuracy of the implicit assumptions.

Citation Download Citation

Amanda Criner and Norman Schehl "Regression analysis of non-contact acousto-thermal signature data", Proc. SPIE 9861, Thermosense: Thermal Infrared Applications XXXVIII, 98610O (11 May 2016); https://doi.org/10.1117/12.2224169

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