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An optimal structured policy for maintenance of partially observable aircraft engine components
Author(s) -
Hopp Wallace J.,
Kuo YarLin
Publication year - 1998
Publication title -
naval research logistics (nrl)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.665
H-Index - 68
eISSN - 1520-6750
pISSN - 0894-069X
DOI - 10.1002/(sici)1520-6750(199806)45:4<335::aid-nav1>3.0.co;2-6
Subject(s) - partially observable markov decision process , observable , computer science , markov decision process , scheduling (production processes) , process (computing) , decision process , operations research , representation (politics) , aircraft maintenance , markov process , mathematical optimization , mathematics , engineering , aeronautics , process management , statistics , physics , quantum mechanics , politics , law , political science , operating system
This paper considers the maintenance of aircraft engine components that are subject to stress. We model the deterioration process by means of the cumulative jump process representation of crack growth. However, because in many cases cracks are not easily observable, maintenance decisions must be made on the basis of other information. We incorporate stress information collected via sensors into the scheduling decision process by means of a partially observable Markov decision process model. Using this model, we demonstrate the optimality of structured maintenance policies, which support practical maintenance schedules. © 1998 John Wiley & Sons, Inc. Naval Research Logistics 45: 335–352, 1998