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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Published in | Applied statistics Vol. 59; no. 1; pp. 163 - 173 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Oxford, UK : Blackwell Publishing Ltd
2010
Blackwell Publishing Ltd Wiley-Blackwell Royal Statistical Society Oxford University Press |
Series | Journal of the Royal Statistical Society Series C |
Subjects | |
Online Access | Get full text |
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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. |
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Bibliography: | http://dx.doi.org/10.1111/j.1467-9876.2009.00692.x istex:8303CCABC6E95C20F634E8DA244FE67A3E951BDD ark:/67375/WNG-P9NLHFH9-7 ArticleID:RSSC692 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0035-9254 1467-9876 |
DOI: | 10.1111/j.1467-9876.2009.00692.x |