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

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5 Author(s)
Mahera Musallam ; UNIVERSITY OF NOTTINGHAM, Electrical and Electronic Engineering Department, University Park, United Kingdom ; C. Mark Johnson ; Chunyan Yin ; Chris Bailey
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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.

Published in:

2010 IEEE Energy Conversion Congress and Exposition

Date of Conference:

12-16 Sept. 2010