A supervised learning approach for prediction of x-ray computed tomography data from ultrasonic testing data-Reference-Cited by-同舟云学术

A supervised learning approach for prediction of x-ray computed tomography data from ultrasonic testing data

Published:2019 Issue: Volume: Page:
ISSN:0094-243X
Container-title:AIP Conference Proceedings
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Author:

Sparkman Daniel,Wallentine Sarah,Flores Mark,Wertz John,Welter John,Schehl Norm,Dierken Josiah,Zainey David,Aldrin John,Uchic Mike

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Link

http://aip.scitation.org/doi/pdf/10.1063/1.5099748

Reference10 articles.

1. D. Mollenhauer, E. Iarve, K. Hoos, M. Flores, E. Zhou, E. Lindgren, and G. Schoeppner, "Damage tolerance for life management of composite structures - part 1: modeling," in The Aircraft Structural Integrity Program Conference 2015, ASIP Conference Proceedings 2015.

2. M. Flores, "Damage tolerance and assessment of unidirectional carbon fiber composites: an experimental and numerical study," Ph.D. thesis, The University of Texas at El Paso, 2016.

3. J. Wertz, S. Wallentine, J. Welter, J. Dierken, and J. Aldrin, "Volumetric characterization of delamination fields via angle longitudinal wave ultrasound," in Review of Progress in Quantitative Nondestructive Evaluation, (AIP 1806), 36, 090006 (2016).

4. J. Aldrin, J. Welter, J. Wertz, S. Wallentine, E. Lindgren, V. Kramb, and D. Zainey, "Fundamentals of angle-beamed ultrasonic NDE for potential characterization of hidden regions of impact damage in composites," in Review of Progress in Quantitative Nondestructive Evaluation, to appear, (2017).

5. J. Wertz, L. Homa, D. Sparkman, J. Welter, and J. Aldrin, "Gaussian process regression of chirplet decomposed ultrasonic B-scans of a simulated design case," in Review of Progress in Quantitative Nondestructive Evaluation, to appear, (2018).

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