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Reliability prediction using the non-parametric explicit hazard model : a case study

Gorjian, Nima, Mittinty, Murthy, Sun, Yong, Yarlagadda, Prasad K., & Ma, Lin (2010) Reliability prediction using the non-parametric explicit hazard model : a case study. In Proceedings of 5th World Congress on Engineering Asset Management (WCEAM & AGIC 2010), Springer, Brisbane Convention & Exhibition Centre, Brisbane, Queensland. (In Press)

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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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ID Code: 38253
Item Type: Conference Paper
Keywords: Hazard, Reliability, Condition indicator, Operating environment indicator, Explicit hazard model
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Infrastructure Engineering and Asset Management (090505)
Divisions: Current > Research Centres > CRC Integrated Engineering Asset Management (CIEAM)
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > Mathematical Sciences
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2010 [please consult the authors]
Deposited On: 01 Nov 2010 09:27
Last Modified: 02 Nov 2010 00:49

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