A fusion prognostics method for remaining useful life prediction of electronic products

• Published in: 2009 IEEE International Conference on Automation Science and Engineering pp. 102 - 107
• Main Authors: Shunfeng Cheng, Pecht, M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2009
• Subjects: Condition monitoring; Conference management; Costs; Data-driven method; Design automation; Design engineering; Failure analysis; Fusion prognostics; Inventory management; Material properties; Physics; Physics of Failure analysis; Prognostics and health management; Remaining useful life
• ISBN: 1424445787; 9781424445783
• ISSN: 2161-8070
• DOI: 10.1109/COASE.2009.5234098

Prognostics and health management methods can provide advance warning of failure; reduce the life cycle cost of a product by decreasing inspection costs, downtime, and inventory; and assist in the design and logistical support of fielded and future electronic products. Traditional prognostic methods, such as data-driven methods and physics of failure methods have some limitations. This paper presents a fusion prognostics method, which fuses data-driven methods and physics of failure methods to predict the remaining useful life of electronic products. This method integrates the advantage and overcome the limitations of the data-driven methods and the physics of failure methods to provide better predictions.