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Monte Carlo procedures can be successfully employed to evaluate the uncertainty of measurements performed by digital processing of sampled data, provided that the uncertainties affecting the input samples are modeled correctly. The static nonlinearity is the most difficult error to be modeled, since the technical specifications provided by the manufacturers of the acquisition systems are not usually...
Different techniques have been recently proposed in the literature for the identification of the sources of harmonic distortion in electric distribution systems. Each of them has its own advantages and limitations as far as reliability, accuracy and practical usability are concerned. In this paper, these techniques are grouped into three main fundamental criteria, in order to investigate their metrological...
This paper deals with the problem of convening the specifications of devices used in measurement systems based on digital signal processing into data that can be represented as probability density functions of the input quantities (samples) in a Monte Carlo procedure for uncertainty estimation. The attention is focused on data acquisition systems and input transducers. Author's proposals for facing...
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