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Complex System Maintenance Handbook

The efficient functioning of modern society depends on the smooth operation of many complex systems which provide products and services. These include transport systems, communication systems, utilities, manufacturing plants, processing plants, hospitals and banks. Such systems are unreliable in the...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Kobbacy, Khairy Ahmed Helmy (Editor ), Murthy, D. N. Prabhakar (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Springer Series in Reliability Engineering,
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • An Overview
  • An Overview
  • Evolution of Concepts and Approaches
  • Maintenance: An Evolutionary Perspective
  • New Technologies for Maintenance
  • Reliability Centred Maintenance
  • Methods and Techniques
  • Condition-based Maintenance Modelling
  • Maintenance Based on Limited Data
  • Reliability Prediction and Accelerated Testing
  • Preventive Maintenance Models for Complex Systems
  • Artificial Intelligence in Maintenance
  • Problem Specific Models
  • Maintenance of Repairable Systems
  • Optimal Maintenance of Multi-component Systems: A Review
  • Replacement of Capital Equipment
  • Maintenance and Production: A Review of Planning Models
  • Delay Time Modelling
  • Management
  • Maintenance Outsourcing
  • Maintenance of Leased Equipment
  • Computerised Maintenance Management Systems
  • Risk Analysis in Maintenance
  • Maintenance Performance Measurement (MPM) System
  • Forecasting for Inventory Management of Service Parts
  • Applications (Case Studies)
  • Maintenance in the Rail Industry
  • Condition Monitoring of Diesel Engines
  • Benchmarking of the Maintenance Process at Banverket (The Swedish National Rail Administration)
  • Integrated e-Operations-e-Maintenance: Applications in North Sea Offshore Assets
  • Fault Detection and Identification for Longwall Machinery Using SCADA Data.