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Asset health reliability estimation based on condition data

Zhang, Sheng, Ma, Lin, Sun, Yong, & Mathew, Joseph (2007) Asset health reliability estimation based on condition data. In World Congress on Engineering Asset Management, 11-14 June 2007, Harrogate, England.

Abstract

This paper presents a method using recursive Bayesian analysis to estimate asset health reliability. The method enables reliability analysis and prediction using degradation condition monitoring data from an individual asset, rather than using failure data from a population of assets. A scheme was devised to assist the implementation of the method in both normal and abnormal zones during the whole asset operation cycle. An experiment on bearing life testing was employed to validate the method.

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ID Code: 13311
Item Type: Conference Paper
Additional URLs:
Keywords: recursive Bayesian analysis, asset health reliability, bearing life testing
ISBN: 1901892220
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300) > Mechanical Engineering not elsewhere classified (091399)
Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400) > Applied Statistics (010401)
Divisions: Current > Research Centres > CRC Integrated Engineering Asset Management (CIEAM)
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2007 (please consult author)
Deposited On: 16 Apr 2008
Last Modified: 29 Feb 2012 23:39

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