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A statistical approach for subsurface analysis in non-stationary thermal wave imaging


Article Information

Title: A statistical approach for subsurface analysis in non-stationary thermal wave imaging

Authors: Harsha Vardhan V., Raja Ram K., Naga Gopi K., A. Vijaya Lakshmi, G. V.Subbarao

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 11

Language: English

Categories

Abstract

Infrared non-destructive testing makes use of captured surface temperature map over object surface to characterize subsurface features. This qualitative and quantitative analysis of subsurface anomalies widened the scope applicability due to its whole field, no contact, non-invasive testing modality in addition to its suitability for testing of various materials. Augmented by the availability of various processing and testing methodologies it is gaining interest for surface and subsurface analysis. This paper introduces a qualitative methodology for subsurface analysis based on a classification using logistic regression and defect depth quantification using a linear regressive model developed for quadratic frequency modulated thermal wave imaging. The proposed methodology has been tested through experimentation carried over a carbon fiber reinforced plastic specimen with embedded flat bottom holes.


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