Title :
A fusion prognostics method for remaining useful life prediction of electronic products
Author :
Cheng, Shunfeng ; Pecht, Michael
Author_Institution :
Center for Adv. Life Cycle Eng. (CALCE), Univ. of Maryland, College Park, MD, USA
Abstract :
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.
Keywords :
electronic products; inspection; life cycle costing; remaining life assessment; data-driven methods; electronic products; fusion prognostics method; health management methods; inspection costs; life cycle cost; logistical support; remaining useful life prediction; Condition monitoring; Conference management; Costs; Design automation; Design engineering; Failure analysis; Inventory management; Material properties; Physics; Prognostics and health management; Data-driven method; Fusion prognostics; Physics of Failure analysis; Prognostics and health management; Remaining useful life;
Conference_Titel :
Automation Science and Engineering, 2009. CASE 2009. IEEE International Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-1-4244-4578-3
Electronic_ISBN :
978-1-4244-4579-0
DOI :
10.1109/COASE.2009.5234098
