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espanolEn diferentes esferas de la vida cotidiana es muy importante determinar el peso de sustancias, objetos e incluso de personas. Las galgas extensiometricas son ampliamente utilizadas en la construccion de celdas de carga para balanzas electronicas. Sin embargo, la senal de estos transductores presenta ruido debido a diversos factores. En este trabajo se presenta un instrumento virtual desarrollado en LabVIEW para la adquisicion y procesamiento de la senal de una celda de carga AC108B/BW. Se desarrollo un filtro digital integrador de media movil, configurable, para disminuir la amplitud del ruido de la senal. EnglishIn different spheres of everyday life it is very important to determine the weight of substances, objects and peoples. Strain gauges are widely used in load cells for electronic scales. However, the signal from these transducers presents noise due to various factors. This work presents a virtual instrument developed in LabVIEW for acquisition and processing of the AC108B/BW load cell signal. A moving average digital filter was developed, in order to decrease the amplitude of the signal noise.

This paper presents the implementation of a Digital Artificial Neural Network (ANN) of type Multilayer Perceptron trained for data classification corresponding to the output characteristic of a transistor MOSFET. The ANN digital was build and training with an adequate number of neurons and samples for achieve an approximate of 90% correct data classification of the transistor MOSFET.