Designing A Decision Support System For Trucks Predictive Maintenance (Contributo in atti di convegno)

Type
Label
  • Designing A Decision Support System For Trucks Predictive Maintenance (Contributo in atti di convegno) (literal)
Anno
  • 2006-01-01T00:00:00+01:00 (literal)
Alternative label
  • Sorlini M., Zangiacomi A., Fornasiero R. (2006)
    Designing A Decision Support System For Trucks Predictive Maintenance
    in 12th IFAC Symposium on Information Control Problems in Manufacturing INCOM'2006, Saint Etienne (France), 17 May-19 May 2006
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Sorlini M., Zangiacomi A., Fornasiero R. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.ifac-papersonline.net/Detailed/30937.html (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • 12th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2006 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 12 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • 12th IFAC Symposium on Information Control Problems in Manufacturing INCOM'2006, Saint Etienne (France), 17-19 Maggio 2006 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 1 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Sorlini Marzio, Istituto di tecnologie industriali e automazione Zangiacomi Andrea, Istituto di tecnologie industriali e automazione Fornasiero Rosanna, Istituto di tecnologie industriali e automazione (literal)
Titolo
  • Designing A Decision Support System For Trucks Predictive Maintenance (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-902661-04-3 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Alexandre Dolgui , Gérard Morel , Carlos Pereira (literal)
Abstract
  • The design of a decision support system addressing maintenance management for commercial vehicles is the aim of this work. Seizing the chance offered by an EU-funded project exploring improvements in lifecycle management from smart embedded systems usage, a predictive maintenance algorithm has been designed having the goal to apply predictive maintenance procedures on a real automotive scenario. The described approach represents the backbone of a (still under development) innovative system for the optimisation of maintenance interventions on a fleet of trucks. The new maintenance system is conceptualized in order to collect information and knowledge which can add value to all the stakeholders of the value chain. (literal)
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