Current Status of Prognostics Techniques and Application to Power Electronics
Proceedings:
Conference:
CIPS 2010 - 6th International Conference on Integrated Power Electronics Systems
Town:
Nuremberg, Germany
Date:
03/16/2010 - 03/18/2010
Authors:
Bailey, Chris; Yin, Chunyan; Lu, Hua (School of Computing and Mathematical Sciences, The University of Greenwich, London SE10 9LS, UK)
Musallam, Mahera; Johnson, C. Mark (School of Electrical and Electronic Engineering, The University of Nottingham, Nottingham NG7 2RD, UK)
Musallam, Mahera; Johnson, C. Mark (School of Electrical and Electronic Engineering, The University of Nottingham, Nottingham NG7 2RD, UK)
File size:
589,01 kB
Pages:
6
Language:
english
Type:
Price:
15.00 €
Payment:
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.
