Yi Yu and Lin Ma and Yong Sun and Yuantong Gu
Remaining Useful Life Prediction Using Elliptical Basis Function Network and Markov Chain
1741 - 1745
2010
4
11
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/5372
https://publications.waset.org/vol/47
World Academy of Science, Engineering and Technology
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 ExpectationMaximization (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.
Open Science Index 47, 2010