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Gonzalez De La Rosa J.J.,Research Group PAIDI TIC 168 Computational Instrumentation and Industrial Electronics ICEI | Gonzalez De La Rosa J.J.,University of Cadiz | Sierra-Fernandez J.M.,Research Group PAIDI TIC 168 Computational Instrumentation and Industrial Electronics ICEI | Aguera-Perez A.,Research Group PAIDI TIC 168 Computational Instrumentation and Industrial Electronics ICEI | And 3 more authors.
International Journal of Electrical Power and Energy Systems | Year: 2013

This paper deals with a novel application of the Spectral Kurtosis (SK) in power-quality modeling and analysis. The two major advantages of this three-spectral analysis are: robustness to noise and the capability to detect nonlinearities, as impulsive-like signals. The first aim is to study some of the theoretical aspects of the SK estimation, performing a connection to the power-quality event analysis. Then, real-life situations' performances are presented to correlate results with synthetics. Despite the fact the limited resolution in the frequency domain (to gain computation speed), the method presents an accuracy of 84% over real-life registers. © 2013 Elsevier Ltd. All rights reserved. Source


De La Rosa J.J.G.,Research Group PAIDI TIC 168 Computational Instrumentation and Industrial Electronics ICEI | Aguera-Perez A.,University of Cadiz | Palomares-Salas J.C.,University of Cadiz | Moreno-Munoz A.,University of Cadiz
Measurement: Journal of the International Measurement Confederation | Year: 2013

The focus of the present review paper is the interpretation and estimation of the measurements based in higher-order statistics both in the time and in the frequency domains; and is concerned with statistical signal processing applied in scientific methods. Throughout the work, the mathematical expressions are expanded in order to get a practical interpretation of the estimators and the resulting data structures. A comprehensive selection of the estimators allows the interpretation and the assessment of the numerical and graphical results. The developed expressions complement the examples, giving rise to a practical approach. Conveniently bricked within the sections, an ensemble of tests has been conducted, in which non-Gaussian processes show the need of a higher-order characterization. © 2013 Elsevier Ltd. All rights reserved. Source


Palomares-Salas J.C.,Research Group PAIDI TIC 168 Computational Instrumentation and Industrial Electronics ICEI | Palomares-Salas J.C.,University of Cadiz | Aguera-Perez A.,Research Group PAIDI TIC 168 Computational Instrumentation and Industrial Electronics ICEI | Aguera-Perez A.,University of Cadiz | And 2 more authors.
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering | Year: 2012

Two process to demarcate areas with analogous wind conditions have been developed in this analysis. The used techniques are based on clustering algorithms that will show us the wind directions relations for all stations placed in the studied zone. These relations will be used to build two matrixes, one for each method, allowing us working simultaneously with all relations. By permutation of elements on these matrixes it is possible to group related stations. These grouped distributions matrixes will be compared among themselves and with the wind directions correlation matrix to select the best algorithm of them. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering. Source


Aguera-Perez A.,Research Group PAIDI TIC 168 Computational Instrumentation and Industrial Electronics ICEI | Aguera-Perez A.,University of Cadiz | Palomares-Salas J.C.,Research Group PAIDI TIC 168 Computational Instrumentation and Industrial Electronics ICEI | Palomares-Salas J.C.,University of Cadiz | And 4 more authors.
Journal of Wind Engineering and Industrial Aerodynamics | Year: 2013

Spatial wind distributions are of high interest in many environmental and economic fields. The diversity of elements, geophysical frameworks and methodologies involved in wind spatial studies makes difficult the comparison among approaches, 'blurring' their contributions. This paper proposes an easy-to-implement model, inspired in the 'persistence' model used in wind forecasting, that can be used as reference in wind spatial studies. The main purpose is to provide a context in which both the difficulty of the concerned problem and the contribution of the applied model can be characterized, allowing the comparison among different studies. © 2013 Elsevier Ltd. Source


Gonzalez De La Rosa J.J.,Research Group PAIDI TIC 168 Computational Instrumentation and Industrial Electronics ICEI | Gonzalez De La Rosa J.J.,University of Cadiz | Perez A.A.,Research Group PAIDI TIC 168 Computational Instrumentation and Industrial Electronics ICEI | Perez A.A.,University of Cadiz | And 9 more authors.
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering | Year: 2012

This work presents the detection results involving two common electrical disturbances: sags and swells. Variance, skewness and kurtosis have been used to improve statistical characterization. The measurement procedure is funded in the tuning of the signal under test via a sliding window over which computation is developed. Locking is possible because these power quality disturbances keep the frequency of the power line. Statistical features reveal the inherent properties of the signals: amplitude, frequency and symmetry. The paper primarily examines a number of synthetics in order to extract the theoretical statistical features. Then the algorithm is corroborated using real-life signals, obtaining an accuracy of 83%. This stage is part of the design of an instrument for the measurement of the power quality. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering. Source

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