Title :
Current status of prognostics techniques and application to power electronics
Author :
Bailey, Chris ; Yin, Chunyan ; Lu, Hua ; Musallam, Mahera ; Johnson, C. Mark
Author_Institution :
Sch. of Comput. & Math. Sci., Univ. of Greenwich, London, UK
Abstract :
The existing prognostic techniques for electronics are reviewed and classified into three categories: data driven methods, model driven methods and fusion methods. It ranges from simple statistical methodologies (i.e. historical failure rates and time-series predictions) to high-fidelity models that consider failure mechanisms and their progression. Applications of these techniques, particularly the model driven techniques for power electronic modules are also reported.
Keywords :
failure analysis; modules; power electronics; statistical analysis; data driven methods; failure mechanisms; fusion methods; model driven methods; power electronic module; prognostics techniques; statistical methodology; Analytical models; Computational modeling; Insulated gate bipolar transistors; Load modeling; Mathematical model; Predictive models; Temperature measurement;
Conference_Titel :
Integrated Power Electronics Systems (CIPS), 2010 6th International Conference on
Conference_Location :
Nuremberg
Print_ISBN :
978-1-61284-814-3