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Microelectronics Reliability
Article
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Microelectronics Reliability
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2020
Data sources: DBLP
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Smart SiC MOSFET accelerated lifetime testing

Authors: Nick Baker; Francesco Iannuzzo;

Smart SiC MOSFET accelerated lifetime testing

Abstract

Abstract Accelerated lifetime testing of power modules is time consuming and expensive due to the destructive nature of these tests. Therefore, it makes sense to extract as much data as possible from each consumed component. Traditional power cycling methods, however, monitor a single parameter and stop the test after this parameter reaches a predefined threshold. This leaves little data available for real-time analysis of the aging process, which instead must take place post-failure. In this paper, we present full results from a power cycling test on SiC MOSFETs which uses a novel method to extract both the semiconductor die resistance and bondwire resistance separately. Using this method, we are able to observe degradation phenomena that has previously been hidden when using conventional monitoring methods. We hope that the presentation of this data will demonstrate the incentive to incorporate smart monitoring functions during accelerated lifetime testing of power semiconductors. In essence, we aspire to advance the techniques in this area to provide a ‘window’ into the module, which allows the failure process to be accurately observed in real time. In turn, we hope these methods will allow more targeted improvements to module design from a reliability perspective.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Top 10%
Top 10%
hybrid