An effective maintenance policy for a multi-component dynamic system using factored POMDPs
Yükleniyor...
Dosyalar
Tarih
2019-09-20
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Verlag
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
With the latest advances in technology, almost all systems are getting substantially more uncertain and complex. Since increased complexity costs more, it is challenging to cope with this situation. Maintenance optimization plays a critical role in ensuring effective decision-making on the correct maintenance actions in multi-component systems. A Partially Observable Markov Decision Process (POMDP) is an appropriate framework for such problems. Nevertheless, POMDPs are rarely used for tackling maintenance problems. This study aims to formulate and solve a factored POMDP model to tackle the problems that arise with maintenance planning of multi-component systems. An empirical model consisting of four partially observable components deteriorating in time is constructed. We resort to Symbolic Perseus solver, which includes an adapted variant of the point-based value iteration algorithm, to solve the empirical model. The obtained maintenance policy is simulated on the empirical model in a finite horizon for many replications and the results are compared to the other predefined maintenance policies. Drawing upon the policy results of the factored representation, we present how factored POMDPs offer an effective maintenance policy for the multi-component systems.
Açıklama
Supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under grant no 117M587
Anahtar Kelimeler
Behavioral research, Belief space, Decision making, Factored representations, Iterative methods, Maintenance, Maintenance optimization, Maintenance planning, Maintenance problem, Markov processes, Multi-component systems, Partially observable Markov decision process, Planning, Point-based value iterations, POMDP, Markov, Planning structural inspection
Kaynak
Lecture Notes in Artificial Intelligence
WoS Q Değeri
Q4
Q4
Q4
Scopus Q Değeri
Q3
Cilt
11726
Sayı
Künye
Özgür Ünlüakın, D. & Kıvanç, İ., (2019). An effective maintenance policy for a multi-component dynamic system using factored POMDPs. Paper presented at the, Lecture Notes in Artificial Intelligence, 290-300. doi:10.1007/978-3-030-29765-7_24
