941 resultados para Dynamical variables


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La conceptualització del concepte de rendiment acadèmic ha variat al llarg de la història des de definicions que es basaven en un únic criteri fins a les més actuals concepcions multidimensionals. Aquestes darreres apareixen com a resultat del desenvolupament d'aquest concepte, paral.lel a l'evolució històrica d'un fenomen més ampli: el fracàs escolar

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Often practical performance of analytical redundancy for fault detection and diagnosis is decreased by uncertainties prevailing not only in the system model, but also in the measurements. In this paper, the problem of fault detection is stated as a constraint satisfaction problem over continuous domains with a big number of variables and constraints. This problem can be solved using modal interval analysis and consistency techniques. Consistency techniques are then shown to be particularly efficient to check the consistency of the analytical redundancy relations (ARRs), dealing with uncertain measurements and parameters. Through the work presented in this paper, it can be observed that consistency techniques can be used to increase the performance of a robust fault detection tool, which is based on interval arithmetic. The proposed method is illustrated using a nonlinear dynamic model of a hydraulic system

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One of the techniques used to detect faults in dynamic systems is analytical redundancy. An important difficulty in applying this technique to real systems is dealing with the uncertainties associated with the system itself and with the measurements. In this paper, this uncertainty is taken into account by the use of intervals for the parameters of the model and for the measurements. The method that is proposed in this paper checks the consistency between the system's behavior, obtained from the measurements, and the model's behavior; if they are inconsistent, then there is a fault. The problem of detecting faults is stated as a quantified real constraint satisfaction problem, which can be solved using the modal interval analysis (MIA). MIA is used because it provides powerful tools to extend the calculations over real functions to intervals. To improve the results of the detection of the faults, the simultaneous use of several sliding time windows is proposed. The result of implementing this method is semiqualitative tracking (SQualTrack), a fault-detection tool that is robust in the sense that it does not generate false alarms, i.e., if there are false alarms, they indicate either that the interval model does not represent the system adequately or that the interval measurements do not represent the true values of the variables adequately. SQualTrack is currently being used to detect faults in real processes. Some of these applications using real data have been developed within the European project advanced decision support system for chemical/petrochemical manufacturing processes and are also described in this paper

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Los síntomas mentales son limitantes por sí mismos: déficits cognitivos, alteraciones afectivas, psicosis, entre otros, impiden un desempeño satisfactorio en los retos de la cotidianidad; pero la psicopatología no es moderadora exclusiva en dicha restricción, los linderos impuestos por la sociedad al enfermo mental en tanto prejuicios y estereotipos lesionan de forma significativa a estos individuos, coartándolos de las oportunidades que otros sin su condición poseen (1,2,3). Para la Organización Mundial de la Salud, el estigma representa una carga adicional a la enfermedad mental, y su control requiere esfuerzos urgentes (4).