Nowadays quite every production process and complex system can be modeled and controlled in order to perform on-line diagnoses and to optimize maintenance policies. Moreover, very often complex systems would operate under uncertain condition, also being multitasking. These and other issues drive towards the enrichment of the probabilistic analysis, adopting tools able to manage uncertainty and to focus on the system functions and not only on the single components. A recent approach are the DOOBNs (Dynamic Object Oriented Bayesian Networks) that, adding the time parameter, are a development of the previous OOBNs methodology (Object Oriented Bayesian Networks). The present case study, consists of a service facility, the air production and treatment group (GPTA) of the Italian high speed train ETR500 PLT. The purpose was to evaluate, in terms of reliability, the service plant performance and the impact on it of several different decisions concerning maintenance and management.

Dynamic Object Oriented Bayesian Networks in maintenance management: a case study / O. BORGIA; F. DE CARLO; M. PECCIANTI; M. TUCCI. - STAMPA. - 1:(2006), pp. 125-131. (Intervento presentato al convegno ESREL 2006 tenutosi a Estoril, Portugal nel September 18-22nd).

Dynamic Object Oriented Bayesian Networks in maintenance management: a case study

BORGIA, ORLANDO;DE CARLO, FILIPPO;TUCCI, MARIO
2006

Abstract

Nowadays quite every production process and complex system can be modeled and controlled in order to perform on-line diagnoses and to optimize maintenance policies. Moreover, very often complex systems would operate under uncertain condition, also being multitasking. These and other issues drive towards the enrichment of the probabilistic analysis, adopting tools able to manage uncertainty and to focus on the system functions and not only on the single components. A recent approach are the DOOBNs (Dynamic Object Oriented Bayesian Networks) that, adding the time parameter, are a development of the previous OOBNs methodology (Object Oriented Bayesian Networks). The present case study, consists of a service facility, the air production and treatment group (GPTA) of the Italian high speed train ETR500 PLT. The purpose was to evaluate, in terms of reliability, the service plant performance and the impact on it of several different decisions concerning maintenance and management.
2006
Safety and Reliability for Managing Risk
ESREL 2006
Estoril, Portugal
September 18-22nd
O. BORGIA; F. DE CARLO; M. PECCIANTI; M. TUCCI
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/242337
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