DISEÑOS EXPERIMENTALES EN INVESTIGACION INDUSTRIAL SALUD Y TRATAMIENTO DE GRANDES CANTIDADES DE DATOS
PID2020-113443RB-C21
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Nombre agencia financiadora Agencia Estatal de Investigación
Acrónimo agencia financiadora AEI
Programa Programa Estatal de I+D+i Orientada a los Retos de la Sociedad
Subprograma Programa Estatal de I+D+i Orientada a los Retos de la Sociedad
Convocatoria Proyectos I+D
Año convocatoria 2020
Unidad de gestión Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020
Centro beneficiario UNIVERSIDAD DE NAVARRA
Identificador persistente http://dx.doi.org/10.13039/501100011033
Publicaciones
Found(s) 2 result(s)
Found(s) 1 page(s)
Found(s) 1 page(s)
Designing experiments for estimating an appropriate outlet size for a silo type problem
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
- López Fidalgo, Jesús
- May, Caterina
- Moler Cuiral, José Antonio
Jam formation is a problem that may occur when granular material is discharged by gravity from a silo. The estimation of the minimum outlet size, which guarantees that the time to the next jamming event is long enough, can be crucial in the industry. The time is modeled by an exponential distribution with two unknown parameters, and this goal translates to precise estimation of a nonlinear transformation of the parameters. We obtain c-optimum experimental designs with that purpose, applying the graphic Elfving method. Because the optimal experimental designs depend on the nominal values of the parameters, we conduct a sensitivity analysis on our dataset. Finally, a simulation study checks the performance of the approximations, first with the Fisher Information matrix, then with the linearization of the function to be estimated. The results are useful for experimenting in a laboratory and then translating the results to a real scenario. From the application we develop a general methodology for estimating a one-dimensional transformation of the parameters of a nonlinear model., The first author was sponsored by Ministerio de Ciencia e Innovación PID2020-113443RB-C21 and the third one by Ministerio de Ciencia e Innovación PID2020-116873GB-I00 and PID2020-114031RB-I00.
Optimal designs for Antoine’s equation: compound criteria and multi-objective designs via genetic algorithms
RUO. Repositorio Institucional de la Universidad de Oviedo
- Calle Arroyo, Carlos de la
- González Fernández, Miguel Ángel
- Rodríguez Aragón, L. J.
This work was supported by the Ministerio de Ciencia e Innovación [grant numbers PID2019-106263RB-I00 and PID2020-113443RB-C21] and by the Junta de Comunidades de Castilla-La Mancha [grant number SBPLY/21/180501/000126].