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Abstract
This article investigates evaluation methods of thermal transient measurements to obtain the internal thermal structure of semiconductor devices. First, the study uncovers the limitations of a widely accepted standard method that uses frequency-domain deconvolution. An important finding is that the sideband of the time constant spectrum by the standard method has no physical meaning despite it beeing interpreted as a continuous spectrum for a long time. Second, by understanding the limitations of the existing method, the article proposes an alternative method that remodels the frequency-domain deconvolution as a regularized least squares problem in the time domain. With the benchmark of the true values of several thermal networks based on simulation, the proposed sparsity-promoting method demonstrates several advantages, including a better ability to identify adjacent parameters in the time-constant spectrum and the obtained structure function reducing relative error by an order of magnitude. The influence of varying noise levels has also been evaluated. Finally, a proof-of-concept experiment using a commercial power semiconductor device validates its effectiveness.
Original language | English |
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Article number | 10440461 |
Journal | IEEE Transactions on Power Electronics |
Volume | 39 |
Issue number | 6 |
Pages (from-to) | 7525-7535 |
Number of pages | 11 |
ISSN | 1941-0107 |
DOIs | |
Publication status | Published - 1 Jun 2024 |
Keywords
- Amplitude modulation
- Deconvolution
- Frequency-domain analysis
- Semiconductor device measurement
- Standards
- Time-domain analysis
- Transient analysis
- semiconductor device packaging
- transient analysis
- Reliability
- system identification
- thermal analysis
Fingerprint
Dive into the research topics of 'A Sparsity-Promoting Time Domain Evaluation Method for Thermal Transient Measurement of Power Semiconductors'. Together they form a unique fingerprint.Projects
- 1 Active
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AI-Power: Artificial Intelligence for Next-Generation Power Electronics
Blaabjerg, F. (PI), Wang, H. (CoPI), Sahoo, S. (Project Participant), Zhao, S. (Project Participant), Zhang, Y. (Project Participant), Novak, M. (Project Participant) & Frøstrup, S. (Project Coordinator)
01/09/2022 → 31/08/2027
Project: Research
Activities
- 1 Conference presentations
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Tutorial: Artificial Intelligence-assisted Applications in Power Electronics
Huai Wang (Lecturer), Yi Zhang (Lecturer) & Shuai Zhao (Lecturer)
17 May 2024Activity: Talks and presentations › Conference presentations
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