Antonio R. Diaz

This article advances a categorial challenge to physicalistic versions of naturalized epistemology as an account of logico-mathematical knowledge and practice. It argues that, qua physically constituted, any putative rule-governed system is logico-mathematically indeterminate: physical facts are systematically insufficient to fix a unique logico-mathematical (L–M) profile to the exclusion of incompossible alternatives. Building on a Kripkean line of thought concerning the truthmakers of rule attributions and rule applications, the paper develops the point through a Stabler-style mechanism allegedly computing a function f over the natural numbers, and argues that the same finite physical profile equally supports an incompossible alternative function g that coincides with f on all physically realizable cases. The result is that the physical facts fail to determine whether the mechanism determinately and objectively implements any unique or definite L–M rule at all. Crucially, the indeterminacy-generating features exploited by the Stabler-style case are structural: they are characteristic of any finite physical mechanism. Attempts to restore determinacy via counterfactual robustness, normal-operation conditions, or supervenience are argued to be question-begging, since they covertly presuppose precisely the rule whose objective implementation is at issue. The upshot is a dilemma: either determinate L–M rule-following is possible, in which case physicalistic NE is false; or physicalistic NE is true, in which case determinate L–M rule-following (and knowledge) is impossible.

In this work, an intelligent observer is developed and implemented for fault detection and information retrieval in a small wind turbine. The intelligent observer will allow the detection of faults in the turbine’s energy generation, thanks to the estimation of the active power generated. This estimate will be compared with the real active power, measured by a real sensor, so that, if there is not a very high deviation between both values, the sensor measurement will be considered valid. However, when the difference between the estimated value and the real value exceeds a threshold, the sensor measurement will be replaced with the estimate. This threshold will be determined based on the operating point. The results obtained are satisfactory, with a correct estimation and detection of anomalies.

Green energy production is expanding in individual and large-scale electricity grids, driven by the imperative to reduce greenhouse gas emissions. This research performs a comparative analysis of several linear and non-linear regression models, intending to identify the most effective method to estimate the active power produced for a mini wind turbine using meteorological variables, looking for a reliable virtual sensor. The modeling process followed a feature selection step before applying eight machine learning techniques whose results were statistically analysed to determine the best performance. The implemented virtual sensor accurately estimated the active power, being an interesting tool for anomaly detection, maintenance management or decision-making.

El sistema universitario español admite oportunidades de mejora en sus planes de estudios actuales, pues la incorporación de nuevas tecnologías, unidas a las innovaciones educativas, están impulsando la enseñanza superior hacia cambios significativos. La presente propuesta pretende dar cuenta del estudio de un caso donde se implementa un modelo experiencial basado en proyectos centrado en la asignatura: Producción de programas informativos en televisión. En consecuencia, tras la evaluación de esta propuesta formativa donde han participado más de doscientos cincuenta alumnos se ha determinado que podría resultar una alternativa válida y trascendente para aplicarse en futuros cursos académicos.