Predictive Reliability, Prognostics and Risk Assessment for Power Modules

Conference: CIPS 2008 - 5th International Conference on Integrated Power Electronics Systems
03/11/2008 - 03/13/2008 at Nuremberg, Germany

Proceedings: CIPS 2008

Pages: 7Language: englishTyp: PDF

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Bailey, C.; Lu, H.; Yin, C.; Ridout, S. (School of Computing and Mathematical Sciences, University of Greenwich, Greenwich, London SE10 9LS, United Kingdom)

This paper describes a framework that is being developed for the prediction and analysis of electronics power module reliability both for qualification testing and in-service lifetime prediction. Physics of failure (PoF) reliability methodology using multi-physics high-fidelity and reduced order computer modelling, as well as numerical optimization techniques, are integrated in an dedicated computer modelling environment to meet the needs of the power module designers and manufacturers as well as end-users for both design and maintenance purposes. An example of lifetime prediction for a power module solder interconnect structure is described. Another example is the lifetime prediction of a power module for a railway traction control application. Also in the paper a combined physics of failure and data trending prognostic methodology for the health monitoring of power modules is discussed.