DocumentCode
2793565
Title
A Bayesian approach for health monitoring of critical systems
Author
Zuffranieri, Jason V. ; Robinson, David G.
Author_Institution
Risk & Reliability Anal., Sandia Nat. Labs., Albuquerque, NM
fYear
2005
fDate
5-12 March 2005
Firstpage
3641
Lastpage
3646
Abstract
Bayesian medical monitoring is a concept based on using real-time performance-related data to make statistical predictions about a patient´s future health. The following paper discusses the fundamentals behind the medical monitoring concept and the application to monitoring the health of nuclear reactors. Necessary assumptions are discussed regarding distributions and failure-rate calculations. A simple example is performed to illustrate the effectiveness of the methods. The methods perform very well for the thirteen subjects in the example, with a clear failure sequence identified for eleven of the subjects
Keywords
belief networks; condition monitoring; fission reactor monitoring; nuclear power stations; Bayesian approach; critical systems; failure-rate calculations; health monitoring; medical monitoring; nuclear reactors; statistical predictions; Bayesian methods; Biomedical monitoring; Condition monitoring; Degradation; Inductors; Laboratories; Patient monitoring; Performance analysis; Risk analysis; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace Conference, 2005 IEEE
Conference_Location
Big Sky, MT
Print_ISBN
0-7803-8870-4
Type
conf
DOI
10.1109/AERO.2005.1559669
Filename
1559669
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