Optimization of thermal imaging techniques in failure analysis

Lock-in thermography (LIT) has been gaining more attention from the research community for non-destructive evaluation of integrated circuits (IC) and localization of thermal active electrical defects in microelectronics and circuit reliability research. Thermal imaging is considered to be the standa...

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Main Author: Sidambararajan, Preethy Sudhan
Other Authors: Zhou Xing
Format: Theses and Dissertations
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/76873
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-768732023-07-04T16:15:14Z Optimization of thermal imaging techniques in failure analysis Sidambararajan, Preethy Sudhan Zhou Xing School of Electrical and Electronic Engineering Technical University of Munich DRNTU::Engineering::Electrical and electronic engineering Lock-in thermography (LIT) has been gaining more attention from the research community for non-destructive evaluation of integrated circuits (IC) and localization of thermal active electrical defects in microelectronics and circuit reliability research. Thermal imaging is considered to be the standard technology in the field of IC failure analysis. This thesis presents the following: 1) optimization scheme for thermal imaging techniques is proposed to calibrate with the LIT and identify the root cause of the failure in IC packages, 2) ultra-violet (UV) thermal imaging technique is introduced with LIT for failure analysis. Experiments are conducted under real-world environment. The results show that the proposed optimization techniques improves both the validation time and accuracy of the conventional thermal imaging techniques for the failure analysis. Furthermore, an investigation is carried out to identify the potential of UV thermal imaging LIT for the failure analysis. Master of Science (Green Electronics) 2019-04-20T10:44:30Z 2019-04-20T10:44:30Z 2019 Thesis http://hdl.handle.net/10356/76873 en 76 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Sidambararajan, Preethy Sudhan
Optimization of thermal imaging techniques in failure analysis
description Lock-in thermography (LIT) has been gaining more attention from the research community for non-destructive evaluation of integrated circuits (IC) and localization of thermal active electrical defects in microelectronics and circuit reliability research. Thermal imaging is considered to be the standard technology in the field of IC failure analysis. This thesis presents the following: 1) optimization scheme for thermal imaging techniques is proposed to calibrate with the LIT and identify the root cause of the failure in IC packages, 2) ultra-violet (UV) thermal imaging technique is introduced with LIT for failure analysis. Experiments are conducted under real-world environment. The results show that the proposed optimization techniques improves both the validation time and accuracy of the conventional thermal imaging techniques for the failure analysis. Furthermore, an investigation is carried out to identify the potential of UV thermal imaging LIT for the failure analysis.
author2 Zhou Xing
author_facet Zhou Xing
Sidambararajan, Preethy Sudhan
format Theses and Dissertations
author Sidambararajan, Preethy Sudhan
author_sort Sidambararajan, Preethy Sudhan
title Optimization of thermal imaging techniques in failure analysis
title_short Optimization of thermal imaging techniques in failure analysis
title_full Optimization of thermal imaging techniques in failure analysis
title_fullStr Optimization of thermal imaging techniques in failure analysis
title_full_unstemmed Optimization of thermal imaging techniques in failure analysis
title_sort optimization of thermal imaging techniques in failure analysis
publishDate 2019
url http://hdl.handle.net/10356/76873
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