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Bayesian design of decision rules for failure detectionThe formulation of the decision making process of a failure detection algorithm as a Bayes sequential decision problem provides a simple conceptualization of the decision rule design problem. As the optimal Bayes rule is not computable, a methodology that is based on the Bayesian approach and aimed at a reduced computational requirement is developed for designing suboptimal rules. A numerical algorithm is constructed to facilitate the design and performance evaluation of these suboptimal rules. The result of applying this design methodology to an example shows that this approach is potentially a useful one.
Document ID
19860027949
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Chow, E. Y.
(Schlumberger-Doll Research Ridgefield, CT, United States)
Willsky, A. S.
(MIT Cambridge, MA, United States)
Date Acquired
August 12, 2013
Publication Date
November 1, 1984
Publication Information
Publication: IEEE Transactions on Aerospace and Electronic Systems
Volume: AES-20
ISSN: 0018-9251
Subject Category
Cybernetics
Accession Number
86A12687
Funding Number(s)
CONTRACT_GRANT: NGL-22-009-124
CONTRACT_GRANT: N00014-77-C-0224
Distribution Limits
Public
Copyright
Other

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