Asset Condition, Information Systems and Decision Models

  • Joe E. Amadi-Echendu
  • Roger Willett
  • Kerry Brown
  • Joseph Mathew

Part of the Engineering Asset Management Review book series (EAMR)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Yong Sun, Lin Ma, Joseph Mathew
    Pages 71-87
  3. Andy Chit Tan, Aiwina Heng, Joseph Mathew
    Pages 89-103
  4. Girindra Mani, Dan Wolfe, Xiaomin Zhao, Ming J. Zuo
    Pages 105-123
  5. Yong Sun, Lin Ma, Joseph Mathew
    Pages 133-147
  6. Yong Sun, Colin Fidge, Lin Ma
    Pages 149-168
  7. Hack-Eun Kim, Andy C.C. Tan, Joseph Mathew, Eric Y. H. Kim, Byeong-Keun Choi
    Pages 169-186
  8. M. G. Lipsett, R. Gallardo Bobadilla
    Pages 187-205
  9. Back Matter
    Pages 233-234

About this book


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 the on-going development of Condition Monitoring standards.

This volume comprises selected papers from the 1st, 2nd, and 3rd World Congresses on Engineering Asset Management, which were convened under the auspices of ISEAM in collaboration with a number of organisations, including CIEAM Australia, Asset Management Council Australia, BINDT UK, and Chinese Academy of Sciences, Beijing University of Chemical Technology, China.

Asset Condition, Information Systems and Decision Models will be of particular interest to finance, maintenance, and operations personnel whose roles directly affect the capability value of engineering asset base, as well as asset managers in both industry and government.


Asset Condition Asset Management Condition Monitoring Standards Decision Models Engineering Assest Management Information Systems Physical Asset Management

Editors and affiliations

  • Joe E. Amadi-Echendu
    • 1
  • Roger Willett
    • 2
  • Kerry Brown
    • 3
  • Joseph Mathew
    • 4
  1. 1.Graduate School of Technology ManagementUniversity of PretoriaPretoriaSouth Africa
  2. 2.Department of Accountancy and Business LawUniversity of OtagoDunedinNew Zealand
  3. 3.Southern Cross UniversityTweed HeadsAustralia
  4. 4.Centre for Integrated Engineering Asset Management (CIEAM)Queensland University of TechnologyBrisbaneAustralia

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag London Ltd. 2012
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-4471-2923-3
  • Online ISBN 978-1-4471-2924-0
  • Series Print ISSN 2190-7846
  • Series Online ISSN 2190-7854
  • Buy this book on publisher's site