MATEC Web Conf.
Volume 210, 201822nd International Conference on Circuits, Systems, Communications and Computers (CSCC 2018)
|Number of page(s)||5|
|Published online||05 October 2018|
Improvement the temperature signal filtering in lock-in thermography
Tecnical University of Sofia, Department of Microelectronics, 1797 Sofia, Bulgaria
* Corresponding author: email@example.com
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.