Open AccessIdentifying Batch Problems in Aircraft Field Reliability Analysis
Author(s) -
K. Kolev,
Angel Tanev
Publication year - 2022
Publication title -
aerospace research in bulgaria
Language(s) - English
Resource type - Journals
eISSN - 2367-9522
pISSN - 1313-0927
DOI - 10.3897/arb.v34.e11
Subject(s) - weibull distribution , reliability (semiconductor) , exponential distribution , reliability engineering , range (aeronautics) , computer science , field (mathematics) , aviation , task (project management) , poisson distribution , binomial distribution , statistics , engineering , mathematics , aerospace engineering , systems engineering , power (physics) , physics , quantum mechanics , pure mathematics
In practice, a very important task is to monitor the field reliability of aircraft systems, especially the ones related to aviation safety, and to take relevant actions to prevent from potential consequences. Zooming in that task, one can state that a very important step in that analysis is to identify batch problems where the failure mode only affects a subset of the fleet. The Weibull distribution typically provides the best fit of life data obtained either from test or from field. This is due in part to the broad range of distribution shapes that are included in the Weibull family. As well as, there are many other distributions which are included in the Weibull distribution’s family either exactly or approximately- for example, the normal, the exponential, the Rayleigh, and sometimes the Poisson and the Binomial. This paper presents a practical approach for those aviation professionals dealing with monitoring and analyzing the aircraft field reliability.