Compliance verification methodology for renewable generation integration. Application to island power grids

261 p.

Measurement of polycyclic aromatic hydrocarbons in ambient air by fluorescence spectroscopic techniques

250 p. + anexos

El compliance en la última reforma del Código Penal

La incorporación de la Responsabilidad Penal de las Personas Jurídicas a nuestro ordenamiento jurídico se produce con la publicación de la LO 5/2010, pero no ha sido hasta la nueva Ley Orgánica 1/2015 del pasado 31 de marzo en la que el legislador ha esclarecido los requisitos que la Persona Jurídica debe cumplir para poder eximir su responsabilidad. Se llevará a cabo un exhaustivo estudio en Castellano de los dos pilares fundamentales de la nueva reforma legislativa; los programas de prevención de delitos penales y el encargado de los mismos.

Virtual Sensors for On-line Wheel Wear and Part Roughness Measurement in the Grinding Process

Grinding is an advanced machining process for the manufacturing of valuable complex and accurate parts for high added value sectors such as aerospace, wind generation, etc. Due to the extremely severe conditions inside grinding machines, critical process variables such as part surface finish or grinding wheel wear cannot be easily and cheaply measured on-line. In this paper a virtual sensor for on-line monitoring of those variables is presented. The sensor is based on the modelling ability of Artificial Neural Networks (ANNs) for stochastic and non-linear processes such as grinding; the selected architecture is the Layer-Recurrent neural network. The sensor makes use of the relation between the variables to be measured and power consumption in the wheel spindle, which can be easily measured. A sensor calibration methodology is presented, and the levels of error that can be expected are discussed. Validation of the new sensor is carried out by comparing the sensor's results with actual measurements carried out in an industrial grinding machine. Results show excellent estimation performance for both wheel wear and surface roughness. In the case of wheel wear, the absolute error is within the range of microns (average value 32 mu m). In the case of surface finish, the absolute error is well below R-a 1 mu m (average value 0.32 mu m). The present approach can be easily generalized to other grinding operations.