Asset condition, information systems and decision models

Asset Condition, Information Systems and Decision Models, is the second volume of the Engineering Asset Management Review Series. The manuscripts provide examples of implementations of asset information systems as well as some practical applications of condition data for diagnostics and prognostics....

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Outros autores: Amadi-Echendu, Joe E. (Éditeur intellectuel), Willett, Roger (Éditeur intellectuel), Brown, Kerry, 19..-...., Professeure (Éditeur intellectuel), Mathew, Joseph, 19..-...., chercheur en ingénierie (Éditeur intellectuel)
Formato: Livre numérique
Idioma:Anglais
Publicado: London : Springer London : Imprint: Springer [20..].
Cham : Springer Nature
Series:Engineering Asset Management Review
Acceso en liña:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Asset Condition, Information Systems and Decision Models, Texte imprimé, 9781447129233
Table des matières:
  • Improving Asset Management Process Modelling and Integration Field-wide Integrated Planning In Complex and Remote Operational Environments: Reflections based on an industrial case study Utilising Reliability and Condition Monitoring Data for Asset Health Prognosis The Concept of the Distributed Diagnostic System for Structural Health Monitoring of Critical Elements of Infrastructure Objects Vibration Based Wear Assessment in Slurry Pumps Machine Prognostics Based on Health State Estimation Using SVM Information System Implementation for Asset Management: A theoretical perspective A Flexible Asset Maintenance Decision-Making Process Model Optimising Preventive Maintenance Strategy for Production Lines Approaches to Information Quality Management: State of the Practice of UK Asset Intensive Organizations Modelling Risk in Discrete Multi-State Risk in Discrete Multi-State Repairable Systems Managing the Risks of Adverse Operational Requirements in Power Generation: Case Study in Gas and Hydro Turbines