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Visualizing uncertainty in reliability functions with application to aero engine overhaul
Author(s) -
Ebden Mark,
Stranjak Armin,
Roberts Stephen
Publication year - 2010
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.1111/j.1467-9876.2009.00692.x
Subject(s) - weibull distribution , parametric statistics , censoring (clinical trials) , reliability (semiconductor) , computer science , reliability engineering , hazard , statistics , engineering , mathematics , physics , power (physics) , chemistry , organic chemistry , quantum mechanics
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.