Asset Condition, Information Systems and Decision Models

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Amadi-Echendu, Joe E. (Επιμελητής έκδοσης), Willett, Roger (Επιμελητής έκδοσης), Brown, Kerry (Επιμελητής έκδοσης), Mathew, Joseph (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London : Imprint: Springer, 2012.
• Σειρά: Engineering Asset Management Review,
• Θέματα: Engineering.; Management.; Industrial management.; Information technology.; Business > Data processing.; Finance.; Engineering economics.; Engineering economy.; Quality control.; Reliability.; Industrial safety.; Engineering Economics, Organization, Logistics, Marketing.; Innovation/Technology Management.; Finance, general.; Quality Control, Reliability, Safety and Risk.; IT in Business.

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....

Πίνακας περιεχομένων:

• 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.