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Integrated reliability and prognostics prediction methodology for power electronic modules

Integrated reliability and prognostics prediction methodology for power electronic modules

Bailey, Chris ORCID: 0000-0002-9438-3879, Lu, Hua ORCID: 0000-0002-4392-6562, Yin, Chunyan and Tilford, Timothy (2008) Integrated reliability and prognostics prediction methodology for power electronic modules. In: IET Seminar on Aircraft Health Management for New Operational and Enterprise Solutions. IET Digest, 2008/1 . The Institution of Engineering and Technology, Stevenage, UK, pp. 1-39. ISBN 978-0-86341-936-2 ISSN 0537-9989 (doi:https://doi.org/10.1049/ic:20080638)

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Abstract

The article consists of a PowerPoint presentation on integrated reliability and prognostics prediction methodology for power electronic modules. The areas discussed include: power electronics flagship; design for reliability; IGBT module; design for manufacture; power module components; reliability prediction techniques; failure based reliability; etc.

Item Type: Conference Proceedings
Title of Proceedings: IET Seminar on Aircraft Health Management for New Operational and Enterprise Solutions
Additional Information: [1] This paper forms part of the Proceedings of the IET Seminar on Aircraft Health Management for New Operational and Enterprise Solutions, held 25-26 June 2008, in London, UK. [2] IET Conference Publications.
Uncontrolled Keywords: power electronic modules, prognostics prediction methodology, design-for-reliability, IGBT module, design for manufacture, power module components, reliability prediction techniques, failure based reliability
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
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: 20 Mar 2019 11:54
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/1256

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