# 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 9783800730896

## Abstract

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 |
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Additional Information: | [1] 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 |

Related URLs: | |

Last Modified: | 14 Oct 2016 09:03 |

URI: | http://gala.gre.ac.uk/id/eprint/1257 |

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