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

• Published in: 2010 IEEE Energy Conversion Congress and Exposition pp. 970 - 977
• Main Authors: Musallam, Mahera, Johnson, C Mark, Chunyan Yin, Bailey, Chris, Mermet-Guyennet, Michel
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.09.2010
• Subjects: Electro-thermal models; IGBT; Load modeling; Mathematical model; Multichip modules; Physics-of-failure; Power electronics; Predictive models; Prognosis; Rail traction; Rainflow algorithm; Real time systems; Real-time; Reliability; Temperature measurement; Thermal cycling
• ISBN: 1424452864; 9781424452866
• ISSN: 2329-3721
• DOI: 10.1109/ECCE.2010.5617883

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.