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Asset condition, information systems and decision models

Author: Joe E Amadi-Echendu
Publisher: New York : Springer, 2012.
Series: Engineering asset management review, 2.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
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. The increasing trend is towards prognostics rather than diagnostics, hence the need for assessment and decision models  Read more...
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Genre/Form: Electronic books
Congresses
Additional Physical Format: Print version:
Asset condition, information systems and decision models.
New York : Springer, 2012
(DLC) 2012942608
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Joe E Amadi-Echendu
ISBN: 9781447129240 1447129245
OCLC Number: 823739996
Description: 1 online resource (xiii, 234 pages) : illustrations (some color).
Contents: Approaches to Information Quality Management: State of the Practice of UK Asset-Intensive Organisations / Philip Woodall, Ajith Kumar Parlikad and Lucas Lebrun --
Information Systems Implementation for Asset Management: A Theoretical Perspective / Abrar Haider --
Improving Asset Management Process Modelling and Integration / Yong Sun, Lin Ma and Joseph Mathew --
Utilising Reliability and Condition Monitoring Data for Asset Health Prognosis / Andy Chit Tan, Aiwina Heng and Joseph Mathew --
Vibration-Based Wear Assessment in Slurry Pumps / Girindra Mani, Dan Wolfe, Xiaomin Zhao and Ming J. Zuo --
The Concept of the Distributed Diagnostic System for Structural Health Monitoring of Critical Elements of Infrastructure Objects / Jedrzej Maczak --
Optimising Preventive Maintenance Strategy for Production Lines / Yong Sun, Lin Ma and Joseph Mathew --
A Flexible Asset Maintenance Decision-Making Process Model / Yong Sun, Colin Fidge and Lin Ma --
Machine Prognostics Based on Health State Estimation Using SVM / Hack-Eun Kim, Andy C.C. Tan, Joseph Mathew, Eric Y.H. Kim and Byeong-Keun Choi --
Modeling Risk in Discrete Multistate Repairable Systems / M.G. Lipsett and R. Gallardo Bobadilla --
Managing the Risks of Adverse Operational Requirements in Power Generation --
Case Study in Gas and Hydro Turbines / M. Salman Leong and Ng Boon Hee --
Field-Wide Integrated Planning in a Complex and Remote Operational Environment: Reflections Based on an Industrial Case Study / Yu Bai and Jayantha P. Liyanage.
Series Title: Engineering asset management review, 2.
Responsibility: Joe E. Amadi-Echendu [and others], editors.
More information:

Abstract:

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. The increasing trend is towards prognostics rather than diagnostics, hence the need for assessment and decision models that promote the conversion of condition data into prognostic information to improve life-cycle planning for engineered assets. The research papers included here serve to support t.

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