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Remaining Useful Life Estimation in Prognosis: An Uncertainty Propagation ProblemThe estimation of remaining useful life is significant in the context of prognostics and health monitoring, and the prediction of remaining useful life is essential for online operations and decision-making. However, it is challenging to accurately predict the remaining useful life in practical aerospace applications due to the presence of various uncertainties that affect prognostic calculations, and in turn, render the remaining useful life prediction uncertain. It is challenging to identify and characterize the various sources of uncertainty in prognosis, understand how each of these sources of uncertainty affect the uncertainty in the remaining useful life prediction, and thereby compute the overall uncertainty in the remaining useful life prediction. In order to achieve these goals, this paper proposes that the task of estimating the remaining useful life must be approached as an uncertainty propagation problem. In this context, uncertainty propagation methods which are available in the literature are reviewed, and their applicability to prognostics and health monitoring are discussed.
Document ID
20140010623
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Sankararaman, Shankar
(Stinger Ghaffarian Technologies, Inc. (SGT, Inc.) Moffett Field, CA, United States)
Goebel, Kai
(NASA Ames Research Center Moffett Field, CA United States)
Date Acquired
August 13, 2014
Publication Date
August 19, 2013
Subject Category
Aeronautics (General)
Mathematical And Computer Sciences (General)
Report/Patent Number
ARC-E-DAA-TN10602
Meeting Information
Meeting: AIAA Infotech Conference 2013
Location: Boston, MA
Country: United States
Start Date: August 19, 2013
End Date: August 22, 2013
Sponsors: American Inst. of Aeronautics and Astronautics
Funding Number(s)
CONTRACT_GRANT: NNA08CG83C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Uncertainty Quantification
Prognosis
Remaining Useful Life
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