scholarly journals Optimal inspection and maintenance planning for deteriorating structural components through dynamic Bayesian networks and Markov decision processes

2022 ◽  
Vol 94 ◽  
pp. 102140
Author(s):  
P.G. Morato ◽  
K.G. Papakonstantinou ◽  
C.P. Andriotis ◽  
J.S. Nielsen ◽  
P. Rigo
Keyword(s):  
Bayesian Networks ◽  
Markov Decision Processes ◽  
Dynamic Bayesian Networks ◽  
Decision Processes ◽  
Maintenance Planning ◽  
Structural Components ◽  
Markov Decision ◽  
Inspection And Maintenance

scholarly journals Incorporating Bayesian Networks in Markov Decision Processes

2013 ◽  
Vol 19 (4) ◽  
pp. 415-424 ◽  
Author(s):  
R. Faddoul ◽  
W. Raphael ◽  
A.-H. Soubra ◽  
A. Chateauneuf
Keyword(s):  
Bayesian Networks ◽  
Markov Decision Processes ◽  
Decision Processes ◽  
Markov Decision

Extreme-point solutions in Markov decision processes

1983 ◽  
Vol 20 (04) ◽  
pp. 835-842
Author(s):  
David Assaf
Keyword(s):  
Convex Function ◽  
Extreme Point ◽  
Markov Decision Processes ◽  
Convex Functions ◽  
Sufficient Conditions ◽  
Decision Processes ◽  
Markov Decision ◽  
Full Solution

The paper presents sufficient conditions for certain functions to be convex. Functions of this type often appear in Markov decision processes, where their maximum is the solution of the problem. Since a convex function takes its maximum at an extreme point, the conditions may greatly simplify a problem. In some cases a full solution may be obtained after the reduction is made. Some illustrative examples are discussed.

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