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Real-time life consumption power modules prognosis using on-line rainflow algorithm in metro applications

Real-time life consumption power modules prognosis using on-line rainflow algorithm in metro applications

Musallam, M., Johnson, C.M., Yin, Chunyan, Bailey, Christopher and Mermet-Guyennet, M. (2010) Real-time life consumption power modules prognosis using on-line rainflow algorithm in metro applications. In: Energy Conversion Congress and Exposition (ECCE), 2010 IEEE. IEEE Xplore Digital Library, Atlanta GA, pp. 970-977. ISBN 978-1-4244-5286-6 (print) ISSN 978-1-4244-5287-3 (online) (doi:10.1109/ECCE.2010.5617883)

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Abstract

A real-time prognostic tool to predict life-time of IGBT power modules in a metro application is presented. Applying conventional life models (e.g. Coffin-Manson) for real applications is infeasible because these models are only applicable to cyclic data. Use of off-line rainflow algorithm is common solution but cannot be applied in real-time in its original form. This paper presents on-line life-estimation of the power modules using real-time rainflow coding algorithm. This technique is applied to an example metro application that requires use of cycle counting for an arbitrary load profile. The proposed method uses a stack-based implementation which employs a recursive algorithm to identify full and half cycles of the temperatures obtained as outputs from real-time compact thermal models. This then allows life-time models to be used to provide life consumption estimates. This method provides less complexity and more accurate on-line prediction for the studied module's failure mechanisms.

Item Type: Conference Proceedings
Title of Proceedings: Energy Conversion Congress and Exposition (ECCE), 2010 IEEE
Uncontrolled Keywords: IGBT power modules, rainflow algorithm, recursive algorithm, compact thermal models,
Subjects: Q Science > QA Mathematics
T Technology > T Technology (General)
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:19
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/7607

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