Predictive reliability, prognostics and risk assessment for power modules
Bailey, C., Lu, H., Yin, C. and Ridout, S. (2008) Predictive reliability, prognostics and risk assessment for power modules. CIPS 2008: 5th International Conference on Integrated Power Electronics Systems. Proceedings, March, 11-13, 2008 Nuremberg/Germany. ETG-Fachbericht (111). VDE Verlag GmbH, Berlin-Offenbach, Germany, pp. 19-26. ISBN 9783800730896Full text not available from this repository.
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 a 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.
|Item Type:||Book Section|
|Additional Information:|| Invited Paper, for Session 1: Robustness Validation. Presented at the 5th International Conference on Integrated Power Electronics Systems, CIPS 2008, held 11-13 March 2008, in Nuremberg, Germany.|
|Uncontrolled Keywords:||Power Electronic Module (PEM), predictive reliability, risk assessment|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QA Mathematics
|Pre-2014 Departments:||School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Mechanics & Reliability Group
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
|Last Modified:||14 Oct 2016 09:03|
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