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Amadi-Echendu, Joe E.

Asset Condition, Information Systems and Decision Models

Amadi-Echendu, Joe E. - Asset Condition, Information Systems and Decision Models, ebook

132,70€

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ISBN: 9781447129240
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Table of contents

1. Approaches to Information Quality Management: State of the Practice of UK Asset-Intensive Organisations
Philip Woodall, Ajith Kumar Parlikad, Lucas Lebrun

2. Information Systems Implementation for Asset Management: A Theoretical Perspective
Abrar Haider

3. Improving Asset Management Process Modelling and Integration
Yong Sun, Lin Ma, Joseph Mathew

4. Utilising Reliability and Condition Monitoring Data for Asset Health Prognosis
Andy Chit Tan, Aiwina Heng, Joseph Mathew

5. Vibration-Based Wear Assessment in Slurry Pumps
Girindra Mani, Dan Wolfe, Xiaomin Zhao, Ming J. Zuo

6. The Concept of the Distributed Diagnostic System for Structural Health Monitoring of Critical Elements of Infrastructure Objects
Jedrzej Maczak

7. Optimising Preventive Maintenance Strategy for Production Lines
Yong Sun, Lin Ma, Joseph Mathew

8. A Flexible Asset Maintenance Decision-Making Process Model
Yong Sun, Colin Fidge, Lin Ma

9. Machine Prognostics Based on Health State Estimation Using SVM
Hack-Eun Kim, Andy C.C. Tan, Joseph Mathew, Eric Y. H. Kim, Byeong-Keun Choi

10. Modeling Risk in Discrete Multistate Repairable Systems
M. G. Lipsett, R. Gallardo Bobadilla

11. Managing the Risks of Adverse Operational Requirements in Power Generation – Case Study in Gas and Hydro Turbines
M. Salman Leong, Ng Boon Hee

12. Field-Wide Integrated Planning in a Complex and Remote Operational Environment: Reflections Based on an Industrial Case Study
Yu Bai, Jayantha P. Liyanage

Keywords: Engineering, Engineering Economics, Organization, Logistics, Marketing, Innovation/Technology Management, Finance/Investment/Banking, Quality Control, Reliability, Safety and Risk, Business Information Systems

Author(s)
 
 
 
Publisher
Springer
Publication year
2012
Language
en
Edition
1
Series
Engineering Asset Management Review
Page amount
247 pages
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (PDF)
9781447129240

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