Asset Condition, Information Systems and Decision Models

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Synopsis

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.

Book details

Edition:
2013
Series:
Engineering Asset Management Review
Author:
Joe E. Amadi-Echendu, Roger Willett, Kerry Brown and Joseph Mathew
ISBN:
9781447129240
Related ISBNs:
9781447129233
Publisher:
Springer London
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2021-02-22
Usage restrictions:
Copyright
Copyright date:
2012
Copyright by:
Springer London, London 
Adult content:
No
Language:
English
Categories:
Business and Finance, Nonfiction, Technology