Improvement the temperature signal filtering in lock-in thermography

At present, lock-in thermography is widely used non-destructive method for defects detection. The informative images in lock-in thermography (e.g. phasegram) are obtained after temperature signal filtering of the raw data. The postprocessing in lock-in thermography is more complex than in other acti...

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Main Authors: Stoynova Anna, Bonev Borislav
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201821005007
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spelling doaj-95c5d4f1f1d147c9acce81e20200cafe2021-04-02T13:54:54ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012100500710.1051/matecconf/201821005007matecconf_cscc2018_05007Improvement the temperature signal filtering in lock-in thermographyStoynova AnnaBonev BorislavAt present, lock-in thermography is widely used non-destructive method for defects detection. The informative images in lock-in thermography (e.g. phasegram) are obtained after temperature signal filtering of the raw data. The postprocessing in lock-in thermography is more complex than in other active thermography methods and very important for defects detectability. In some cases the standard postprocessing can significantly decrease the quality of the temperature signal filtering, respectively decreasing defects detectability, although the parameters of lock-in thermography measurement are selected correctly. The aim of the paper is to study the quality of temperature signal filtering in lock-in thermography depending on used offline postprocessing. For this reason, a methodology based on modelling and measurements of temperature signals from infrared thermography for determination of cases, in which the temperature signal filtering quality is decreased significantly, is used and corresponded methods for correction are proposed. The results from modelling and from real lock-in thermography measurements shows that by using of the proposed methods can be avoided decreasing of temperature signal filtering quality due to improper postprocessing. In addition, the proposed methods allow same defect detectability at lower energy, induced in tested sample, which is very useful for materials that are not sufficiently heat-resistant.https://doi.org/10.1051/matecconf/201821005007
collection DOAJ
language English
format Article
sources DOAJ
author Stoynova Anna
Bonev Borislav
spellingShingle Stoynova Anna
Bonev Borislav
Improvement the temperature signal filtering in lock-in thermography
MATEC Web of Conferences
author_facet Stoynova Anna
Bonev Borislav
author_sort Stoynova Anna
title Improvement the temperature signal filtering in lock-in thermography
title_short Improvement the temperature signal filtering in lock-in thermography
title_full Improvement the temperature signal filtering in lock-in thermography
title_fullStr Improvement the temperature signal filtering in lock-in thermography
title_full_unstemmed Improvement the temperature signal filtering in lock-in thermography
title_sort improvement the temperature signal filtering in lock-in thermography
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description At present, lock-in thermography is widely used non-destructive method for defects detection. The informative images in lock-in thermography (e.g. phasegram) are obtained after temperature signal filtering of the raw data. The postprocessing in lock-in thermography is more complex than in other active thermography methods and very important for defects detectability. In some cases the standard postprocessing can significantly decrease the quality of the temperature signal filtering, respectively decreasing defects detectability, although the parameters of lock-in thermography measurement are selected correctly. The aim of the paper is to study the quality of temperature signal filtering in lock-in thermography depending on used offline postprocessing. For this reason, a methodology based on modelling and measurements of temperature signals from infrared thermography for determination of cases, in which the temperature signal filtering quality is decreased significantly, is used and corresponded methods for correction are proposed. The results from modelling and from real lock-in thermography measurements shows that by using of the proposed methods can be avoided decreasing of temperature signal filtering quality due to improper postprocessing. In addition, the proposed methods allow same defect detectability at lower energy, induced in tested sample, which is very useful for materials that are not sufficiently heat-resistant.
url https://doi.org/10.1051/matecconf/201821005007
work_keys_str_mv AT stoynovaanna improvementthetemperaturesignalfilteringinlockinthermography
AT bonevborislav improvementthetemperaturesignalfilteringinlockinthermography
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