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- Title
Reliability Analysis of Military Vehicles Based on Censored Failures Data.
- Authors
Oszczypała, Mateusz; Ziółkowski, Jarosław; Małachowski, Jerzy
- Abstract
The paper proposes a methodology of reliability testing as applied to vehicles used in military transport systems. After estimating the value of the reliability function using the Kaplan–Meier estimator, reliability models were developed and analysed. The neural model, which achieved the value of the correlation coefficient R exceeding 0.99, was determined to fit the empirical data the best. On the basis of the approximated reliability function of several models, the reliability characteristics of the tested sample of vehicles were determined. Plots of the failure probability density function for all three models had similar courses over a significant part of the function domain. A failure intensity function was also determined, which varied between models. For the exponential and Weibull model, the expected mileage between failures was calculated, which proved impossible for the neural model. The proposed methodology is capable of modelling reliability characteristics based on the observation of an assumed period of the exploitation process of the selected group of military vehicles.
- Subjects
CENSORING (Statistics); KAPLAN-Meier estimator; PROBABILITY density function; FAILURE time data analysis; RELIABILITY in engineering; MILITARY vehicles; ARTIFICIAL neural networks
- Publication
Applied Sciences (2076-3417), 2022, Vol 12, Issue 5, p2622
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app12052622