Performance analysis of an aggregation and disaggregation solution procedure to obtain a maintenance plan for a partially observable multi-component system
Yükleniyor...
Dosyalar
Tarih
2017-11
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Sci Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
We analyze the performance of an aggregation and disaggregation procedure in giving the optimal maintenance decisions for a multi-component system under partial observations in a finite horizon. The components deteriorate in time and their states are hidden to the decision maker. Nevertheless, it is possible to observe signals about the system status and to replace components in each period. The aim is to find a cost effective replacement plan for the components in a given time horizon. The problem is formulated as a partially observable Markov decision process (POMDP). We aggregate states and actions in order to reduce the problem space and obtain an optimal aggregate policy which we disaggregate by simulating it using dynamic Bayesian networks (DBN). The procedure is statistically compared to an approximate POMDP solver that uses the full state space information. Cases where aggregation performs relatively better are isolated and it is shown that k-out-of-n systems belong to this class.
Açıklama
Anahtar Kelimeler
Maintenance, Partially observable Markov decision processes, Dynamic Bayesian networks, Aggregation, Disaggregation, Multi-component systems, Markov decision-processes, Influence diagrams, Policies, Reliability, Inspection
Kaynak
Reliability Engineering and System Safety
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
167
Sayı
SI
Künye
Özgür Ünlüakın, D. & Bilgiç, T. (2017). Performance analysis of an aggregation and disaggregation solution procedure to obtain a maintenance plan for a partially observable multi-component system. Reliability Engineering and System Safety, 167, 652-662. doi:10.1016/j.ress.2017.04.013
