Methodology of processing experimental data in transient thermal nondestructive testing (NDT)

Abstract

Noise which occurs in space and time temperature evolution is analyzed using three informative parameters: temperature signal over defect, running contrast, and normalized contrast. It is shown that the choice of optimum informative parameter depends on the kind of noise which dominates in a particular experiment. Decrease of noise by passing into time domain is demonstrated. A methodology for creating images of signal-to-noise ratio and probability of correct detection is proposed. Experimental validations were performed for plaster specimens. The proposed methodology allows us to compare various thermal NDT techniques.

Original language	English
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Editors	Sharon A. Semanovich
Pages	167-178
Number of pages	12
Volume	2473
Publication status	Published - 1995
Event	Thermosense XVII: An International Conference on Thermal Sensing and Imaging Diagnostic Applications - Orlando, FL, USA Duration: 19 Apr 1995 → 21 Apr 1995

Other

Other	Thermosense XVII: An International Conference on Thermal Sensing and Imaging Diagnostic Applications
City	Orlando, FL, USA
Period	19.4.95 → 21.4.95

ASJC Scopus subject areas

Electrical and Electronic Engineering
Condensed Matter Physics

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Methodology of processing experimental data in transient thermal nondestructive testing (NDT). / Grinzato, Ermanno G.; Vavilov, Vladimir; Bison, Paolo G.; Marinetti, S.; Bressan, Chiara.

Proceedings of SPIE - The International Society for Optical Engineering. ed. / Sharon A. Semanovich. Vol. 2473 1995. p. 167-178.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Grinzato, EG, Vavilov, V, Bison, PG, Marinetti, S & Bressan, C 1995, Methodology of processing experimental data in transient thermal nondestructive testing (NDT). in SA Semanovich (ed.), Proceedings of SPIE - The International Society for Optical Engineering. vol. 2473, pp. 167-178, Thermosense XVII: An International Conference on Thermal Sensing and Imaging Diagnostic Applications, Orlando, FL, USA, 19.4.95.

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abstract = "Noise which occurs in space and time temperature evolution is analyzed using three informative parameters: temperature signal over defect, running contrast, and normalized contrast. It is shown that the choice of optimum informative parameter depends on the kind of noise which dominates in a particular experiment. Decrease of noise by passing into time domain is demonstrated. A methodology for creating images of signal-to-noise ratio and probability of correct detection is proposed. Experimental validations were performed for plaster specimens. The proposed methodology allows us to compare various thermal NDT techniques.",

author = "Grinzato, {Ermanno G.} and Vladimir Vavilov and Bison, {Paolo G.} and S. Marinetti and Chiara Bressan",

year = "1995",

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AU - Bison, Paolo G.

AU - Marinetti, S.

AU - Bressan, Chiara

PY - 1995

Y1 - 1995

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AB - Noise which occurs in space and time temperature evolution is analyzed using three informative parameters: temperature signal over defect, running contrast, and normalized contrast. It is shown that the choice of optimum informative parameter depends on the kind of noise which dominates in a particular experiment. Decrease of noise by passing into time domain is demonstrated. A methodology for creating images of signal-to-noise ratio and probability of correct detection is proposed. Experimental validations were performed for plaster specimens. The proposed methodology allows us to compare various thermal NDT techniques.

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BT - Proceedings of SPIE - The International Society for Optical Engineering

A2 - Semanovich, Sharon A.

T2 - Thermosense XVII: An International Conference on Thermal Sensing and Imaging Diagnostic Applications

Y2 - 19 April 1995 through 21 April 1995

ER -

Methodology of processing experimental data in transient thermal nondestructive testing (NDT)

Abstract

Other

ASJC Scopus subject areas

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