Visualizing uncertainty in reliability functions with application to aero engine overhaul

We propose an approach for estimating the date of lost confidence of jet engines, which are devices with multiple components subject to disruption. A mixed Weibull distribution is estimated from a large data set subject to censoring at various times. Parametric uncertainty is derived analytically an...

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Bibliographic Details
Main Authors: Ebden, M, Stranjak, A, Roberts, S
Format: Journal article
Language:English
Published: 2010
Description
Summary:We propose an approach for estimating the date of lost confidence of jet engines, which are devices with multiple components subject to disruption. A mixed Weibull distribution is estimated from a large data set subject to censoring at various times. Parametric uncertainty is derived analytically and mapped visually onto the functions of use in reliability theory, including the hazard function. We demonstrate the use of the method on a database of disruption times for components in 325 jet engines. © 2010 Royal Statistical Society.