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.
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.
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|Item Type:||Conference Paper|
|Keywords:||Elliptical Basis Function Network, Markov Chain, Missing Covariates, Remaining Useful Life|
|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:||08 Dec 2010 22:49|
|Last Modified:||29 Feb 2012 14:26|
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