Reliability prediction using the non-parametric explicit hazard model: a case study
Date
2012
Authors
Gorjian, N.
Mittinty, M.N.
Sun, Y.
Yarlagadda, P.K.D.V.
Ma, L.
Editors
Matthew, J.
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Book chapter
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Event/exhibition information: Proceedings of 5th World Congress on Engineering Asset Management (WCEAM & AGIC 2010), Brisbane, Australia, 25/10/2010-27/10/2010
Source details - Title: Engineering Asset Management and Infrastructure Sustainability, 2012 / Matthew, J. (ed./s), pp.243-250
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Abstract
Survival probability prediction using covariate-based hazard approach is a known statistical methodology in engineering asset health management. We have previously reported the semi-parametric Explicit Hazard Model (EHM) which incorporates three types of information: population characteristics; condition indicators; and operating environment indicators for hazard prediction. This model assumes the baseline hazard has the form of the Weibull distribution. To avoid this assumption, this paper presents the non-parametric EHM which is a distribution-free covariate-based hazard model. In this paper, an application of the non-parametric EHM is demonstrated via a case study. In this case study, survival probabilities of a set of resistance elements using the non-parametric EHM are compared with the Weibull proportional hazard model and traditional Weibull model. The results show that the non-parametric EHM can effectively predict asset life using the condition indicator, operating environment indicator, and failure history.
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Copyright 2012 Springer-Verlag