Bayesian reliability-growth modeling of repairable mechanical systems (Contributo in atti di convegno)

Type

• Contributo in atti di convegno (Classe)
• Prodotto della ricerca (Classe)

Label

• Bayesian reliability-growth modeling of repairable mechanical systems (Contributo in atti di convegno) (literal)

Anno

• 2002-01-01T00:00:00+01:00 (literal)

Alternative label

• Guida M., Pulcini G. (2002)
  Bayesian reliability-growth modeling of repairable mechanical systems
  in 3rd International Conference on Mathematical Methods in Reliability - MMR 2002, Trondheim (Norway)
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Guida M., Pulcini G. (literal)

Pagina inizio

• 263 (literal)

Pagina fine

• 266 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note

• pp. 263-266. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto

• This paper deals with the reliability analysis of a repairable mechanical system undergoing a development program in which modifications are introduced into the system design stage by stage in order to improve reliability. The system reliability is measured through the number of failures that will occur in a given time interval in a fleet of new systems and the failure pattern in each program stage is modeled by a PLP with increasing failure intensity. The use of a Bayesian procedure allows the system reliability to be estimated by combining failure data of current stage with data of previous stages and prior belief on the effectiveness of design changes. A numerical application is provided to illustrate the proposed procedure. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR - Istituto Motori (literal)

Titolo

• Bayesian reliability-growth modeling of repairable mechanical systems (literal)

Abstract

• This paper deals with the reliability analysis of a repairable mechanical system undergoing a development program in which modifications are introduced into the system design stage by stage in order to improve reliability. The system reliability is measured through the number of failures that will occur in a given time interval in a fleet of new systems and the failure pattern in each program stage is modeled by a PLP with increasing failure intensity. The use of a Bayesian procedure allows the system reliability to be estimated by combining failure data of current stage with data of previous stages and prior belief on the effectiveness of design changes. A numerical application is provided to illustrate the proposed procedure. (literal)

Prodotto di

• Institute for Research on Engines (IM) (Istituto)

Autore CNR

• GIANPAOLO PULCINI (Unità di personale interno)
• MAURIZIO GUIDA (Unità di personale interno)

Insieme di parole chiave

• Parole chiave di "Bayesian reliability-growth modeling of repairable mechanical systems" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute for Research on Engines (IM) (Istituto)

Autore CNR di

• GIANPAOLO PULCINI (Unità di personale interno)
• MAURIZIO GUIDA (Unità di personale interno)

Insieme di parole chiave di

• Parole chiave di "Bayesian reliability-growth modeling of repairable mechanical systems" (Insieme di parole chiave)