A Comparative Study of Optimization Models for Condition-Based Maintenance Scheduling of an Aircraft Fleet

Condition-based maintenance (CBM) scheduling of an aircraft fleet in a disruptive environment while considering health prognostics for a set of systems is a very complex combinatorial problem, which is becoming more challenging in light of the uncertainty included in health prognostics. This type of...

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Hlavní autoři:	Iordanis Tseremoglou, Paul J. van Kessel, Bruno F. Santos
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-01-01
Edice:	Aerospace
Témata:	condition-based maintenance (CBM) partially observable markov decision process (POMDP) partially observable Monte Carlo planning (POMCP) deep reinforcement learning (DRL) mixed integer linear programming (MILP) planning under uncertainty
On-line přístup:	https://www.mdpi.com/2226-4310/10/2/120
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