Reliability Prediction Using the Non-Parametric Explicit Hazard Model: A Case Study [chapter]

Nima Gorjian, Murthy N. Mittinty, Yong Sun, Prasad K. D. V. Yarlagadda, Lin Ma
2012 Engineering Asset Management and Infrastructure Sustainability  
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
more » ... ion, 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.
doi:10.1007/978-0-85729-493-7_20 fatcat:xqowti7fkjbqxdwor2ywvvdno4