Cost-effective fault diagnosis of a multi-component dynamic system under corrective maintenance
Yükleniyor...
Tarih
2021-04
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Maintenance planning and execution are challenging tasks for every system with complex structure. Interdependent nature of the components that builds up the system may have significant effect on system integrity. While preventive maintenance actions can be carried out in a more planned fashion, corrective actions are more time sensitive as they directly affect the availability of the system. This study proposes a cost-effective dynamic Bayesian network modeling scheme to be used in the planning of corrective maintenance actions on systems having hidden components which have stochastic and structural dependencies. In such context, the regenerative air heater system which is a key element of a power plant is taken into consideration. The proposed maintenance framework offers several methods, each aiming to balance the cost with the probability effect using a normalization procedure. The methodologies are extensively simulated for sensitivity analysis under various downtime cost values. Fault effect methods with worst state probability efficiency measures give the least total cost for all downtime cost values and their distinction becomes significant as this value increases. Further statistical analysis concludes that considerable gains on maintenance costs can be achieved by the proposed approach.
Açıklama
This research is supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under grant: 117M587.
Anahtar Kelimeler
Corrective maintenance, Dynamic Bayesian networks, Multi-component systems, Sensitivity analysis, Bayesian networks, Cost benefit analysis, Cost effectiveness, Knowledge based systems, Maintenance, Sensitivity analysis, Stochastic systems, Complex structure, Corrective actions, Corrective maintenance, Efficiency measure, Maintenance cost, Maintenance planning, State probability, System integrity, Costs
Kaynak
Applied Soft Computing
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
102
Sayı
Künye
Özgür Ünlüakın, D., Türkali, B. & Aksezer, S. Ç. (2021). Cost-effective fault diagnosis of a multi-component dynamic system under corrective maintenance. Applied Soft Computing, 102, 1-11. doi:10.1016/j.asoc.2021.107092
