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In-Service Diagnostics for Wire-Bond Lift-off and Solder Fatigue of Power Semiconductor Packages

Eleffendi, Mohd Amir; Johnson, Christopher Mark

Authors

Mohd Amir Eleffendi

MARK JOHNSON MARK.JOHNSON@NOTTINGHAM.AC.UK
Professor of Advanced Power Conversion



Abstract

Wire-bond lift-off and Solder fatigue are degradation mechanisms that dominate the lifetime of power semiconductor packages. Although their lifetime is commonly estimated at the design stage, based on mission profiles and Physics-of-Failure models, there are many uncertainties associated with such lifetime estimates, emerging, for example, from model calibration errors, manufacturing tolerances, etc. These uncertainties, combined with the diverse working environments of power semiconductor packages result in inaccurate lifetime estimates. This paper presents an approach for estimating the extent of degradation in power semiconductor packages based on online monitoring of key parameters of the semiconductor, namely, the thermal resistance Rthja and the electrical resistance RCE. Using these two parameters, solder fatigue and wire-bond lift-off can be detected during normal converter operation. In order to estimate these two parameters, two techniques are introduced: a residual obtained from a Kalman filter which estimates the change in the thermal resistance Rthja and a Recursive Least-Squares (RLS) algorithm which is used to estimate the electrical resistance. Both methods are implemented online and validated experimentally.

Citation

Eleffendi, M. A., & Johnson, C. M. (2017). In-Service Diagnostics for Wire-Bond Lift-off and Solder Fatigue of Power Semiconductor Packages. IEEE Transactions on Power Electronics, 32(9), 7187-7198. https://doi.org/10.1109/TPEL.2016.2628705

Journal Article Type Article
Acceptance Date Oct 28, 2016
Online Publication Date Jan 26, 2017
Publication Date 2017-09
Deposit Date Jan 5, 2017
Publicly Available Date Jan 26, 2017
Journal IEEE Transactions on Power Electronics
Print ISSN 0885-8993
Electronic ISSN 1941-0107
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 32
Issue 9
Pages 7187-7198
DOI https://doi.org/10.1109/TPEL.2016.2628705
Keywords Reliability, Kalman Filtering, Least squares methods, IGBT, Monitoring, Life estimation
Public URL https://nottingham-repository.worktribe.com/output/966663
Publisher URL http://ieeexplore.ieee.org/document/7835255/

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