Reliability Assessment of Repairable Systems Using Simple Regression Models

Autor: Miguel Ángel Navas Álvarez, José Carpio Ibáñez, Carlos Sancho de Mingo
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Mathematical, Engineering and Management Sciences, Vol 6, Iss 1, Pp 180-192 (2021)
Druh dokumentu: article
ISSN: 2455-7749
DOI: 10.33889/IJMEMS.2021.6.1.011
Popis: The statistical nature of failures in repairable systems does not have a behaviour similar to non-repairable systems. The statistical models developed for the study of the reliability of repairable systems mostly based on the application of stochastic processes. However, there is a group of prediction models for reliability based on time series analysis. Below are the results and conclusions of the application of simple regression models in the escalators Avante model (TNE), in order to assess their potential use by maintenance organizations.
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