Proposal of a bootstrapping methodology to calculate reliability indexes

(Eng) This study proposes an algorithm to simulate population samples, supported by the Monte Carlo and Bootstrap methods, where the sample size is not representative of the universe being studied. This scenario is characteristic of investigation processes or events which span a long time period. This study developed an example with real-life data collected from a harvesting machine, calculating the lifetime reliability gamma index for a hydraulic element. The implementation of the algorithm was developed with the mathematical assistant MATLAB and the block diagram is shown at work. From the analysis of the results it is conclusive that, when the sample size being studied is very small, the proposed methodology is appropriate to estimate the necessary probabilistic distribution and therefore allows to estimate the confidence interval of the reliability index that is being sought.

• Autores: Batista Rodríguez, Carlos R.; Urquiza Salgado, Rosa I.
• Tipo de recurso: Article of journal
• Fecha de publicación: 2017
• Institución: Universidad del Valle
• Repositorio: Repositorio Digital Univalle
• Idioma: eng
• OAI Identifier: oai:bibliotecadigital.univalle.edu.co:10893/18214
• Acceso en línea: https://hdl.handle.net/10893/18214
• Palabra clave: Método de Monte Carlo; Muestra poblacional; Índices de fiabilidad; Simulación muestral; Monte Carlo method; Population size; Reliability indexes; Bootstrap
• Rights: closedAccess
• License: http://purl.org/coar/access_right/c_14cb