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Remaining useful life prediction using elliptical basis function network and Markov Chain

Yu, Yi, Ma, Lin, Sun, Yong, & Gu, YuanTong (2010) Remaining useful life prediction using elliptical basis function network and Markov Chain. In Ardil, Cemal (Ed.) World Academy of Science, Engineering and Technology, Venice, pp. 800-804.

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Abstract

This paper presents a novel method for remaining useful life prediction using the Elliptical Basis Function (EBF) network and a Markov chain. The EBF structure is trained by a modified Expectation-Maximization (EM) algorithm in order to take into account the missing covariate set. No explicit extrapolation is needed for internal covariates while a Markov chain is constructed to represent the evolution of external covariates in the study. The estimated external and the unknown internal covariates constitute an incomplete covariate set which are then used and analyzed by the EBF network to provide survival information of the asset. It is shown in the case study that the method slightly underestimates the remaining useful life of an asset which is a desirable result for early maintenance decision and resource planning.

Impact and interest:

1 citations in Scopus
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100 since deposited on 08 Dec 2010
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ID Code: 39084
Item Type: Conference Paper
Additional URLs:
Keywords: Elliptical Basis Function Network, Markov Chain, Missing Covariates, Remaining Useful Life
ISSN: 1307-6892
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300) > Mechanical Engineering not elsewhere classified (091399)
Divisions: Current > Research Centres > CRC Integrated Engineering Asset Management (CIEAM)
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2010 [please consult the authors]
Deposited On: 09 Dec 2010 08:49
Last Modified: 01 Mar 2012 00:26

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