A Bayesian model and numerical algorithm for CBM availability maximization

In this paper, we consider an availability maximization problem for a partially observable system subject to random failure. System deterioration is described by a hidden, continuous-time homogeneous Markov process. While the system is operational, multivariate observations that are stochastically r...

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Veröffentlicht in:	Annals of operations research Jg. 196; H. 1; S. 333 - 348
Hauptverfasser:	Jiang, Rui, Kim, Michael Jong, Makis, Viliam
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Boston Springer US 01.07.2012 Springer Science + Business Media Springer Springer Nature B.V
Schlagworte:	Algorithms Analysis Availability Bayesian analysis Bayesian statistical decision theory Business and Management Combinatorics Control charts Decision making Failure Linear equations Linear programming Markov analysis Markov processes Mathematical models Maximization Operations research Operations Research/Decision Theory Policies Preventive maintenance Scheduling (Management) Studies Theory of Computation Canada Iran Hidden Markov model Multivariate Bayesian control chart Semi-Markov decision process Availability maximization Condition-based maintenance
ISSN:	0254-5330, 1572-9338
Online-Zugang:	Volltext
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