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

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...

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Bibliographic Details
Published in2009 IEEE International Conference on Automation Science and Engineering pp. 102 - 107
Main Authors Shunfeng Cheng, Pecht, M.
Format Conference Proceeding
LanguageEnglish
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
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ISBN1424445787
9781424445783
ISSN2161-8070
DOI10.1109/COASE.2009.5234098

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Summary: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.
ISBN:1424445787
9781424445783
ISSN:2161-8070
DOI:10.1109/COASE.2009.5234098