Evaluation of proactive maintenance policies on a stochastically dependent hidden multi-component system using DBNs
Yükleniyor...
Dosyalar
Tarih
2021-07
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In complex systems with stochastically dependent components which are not observed directly, determining an effective maintenance policy is a difficult task. In this paper, a dynamic Bayesian network based maintenance decision framework is proposed to evaluate proactive maintenance policies for such systems. Two preventive and one predictive maintenance strategies from a cost perspective are designed for multi-component dependable systems which aim to reduce maintenance cost while increasing system reliability at the same time. Tabu procedure is employed to avoid repetitive similar actions. The performances of the policies are compared with a reactive maintenance strategy and also with each other using different strategy parameters on a real life system confronted in thermal power plants for six different scenarios. The scenarios are designed considering different structures of system dependability and reactive cost. The results show that the threshold based maintenance which is the predictive strategy gives the minimum cost and maintenance number in almost all scenarios.
Açıklama
This research is supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under grant: 117M587.
Anahtar Kelimeler
Dynamic Bayesian networks, Multi-component hidden systems, Proactive maintenance, Stochastic dependency, Tabu procedure, Costs, Preventive maintenance, Stochastic systems, Tabu search, Thermoelectric power plants, Maintenance decisions, Maintenance policy, Maintenance strategies, Multi-component hidden system, Multi-component systems, Network-based, Stochastic dependencies, Bayesian networks, Opportunistic maintenance, Predictive maintenance, Control chart, Optimization, Strategies, Components, Failure, Model
Kaynak
Reliability Engineering and System Safety
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
211
Sayı
Künye
Özgür Ünlüakın, D. & Türkali, B. (2021). Evaluation of proactive maintenance policies on a stochastically dependent hidden multi-component system using DBNs. Reliability Engineering and System Safety, 211, 1-14. doi:10.1016/j.ress.2021.107559
