Aplicación de los métodos GUM y Monte Carlo para el análisis de la confiabilidad metrológica en equipos industriales: estudio de caso de los procesos térmicos en un motor de combustión interna
This Project is aligned to the research project No 2022008 that is approved by the Vice President for Science, Technology and Innovation of the Antonio Nariño University, which is entitled: "Development of statistical techniques for the analysis of uncertainty and metrological performance in in...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Trabajo de grado (Pregrado y/o Especialización) |
| Lenguaje: | spa |
| Publicado: |
Universidad Antonio Nariño
2022
|
| Materias: | |
| Acceso en línea: | http://repositorio.uan.edu.co/handle/123456789/6830 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Sumario: | This Project is aligned to the research project No 2022008 that is approved by the Vice
President for Science, Technology and Innovation of the Antonio Nariño University, which
is entitled: "Development of statistical techniques for the analysis of uncertainty and
metrological performance in industrial equipment". Although the projects seek similar
objectives, while the project approved by the VCTI focuses on industrial equipment for
hydroelectric power generators in a hydroelectric plant in Rio de Janeiro (Brazil), this
degree project applies the methodology proposed for another industrial equipment, that is,
an internal combustion engine.
Thus, this project arises with the alternative solution to the problem that affects the
efficiency in the process and production in industrial plants or in any other area where there
are associated temperature measurements. This is due to the fact that there is no exact
reading of the constant temperature in the measurand. It was important to carry out this
research since it focuses on the comparison study between the Monte Carlo method and
the GUM method, in terms of the metrological reliability of industrial processes, that is, in
the analysis of measurement uncertainty. To achieve the objectives pursued, sensors were
used to measure the temperature of an internal combustion engine, as well as a scale to
measure fuel consumption. The results allowed verifying the applicability of both methods
in search of the continuous improvement of thermal processes at an industrial level. |
|---|
