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Listar por autor "Iglesias Martínez, Miguel E."

Mostrando ítems 1-10 de 10

Correlations between Background Radiation Inside a Multilayer Interleaving Structure, Geomagnetic Activity, and Cosmic Radiation: A Fourth-Order Cumulant-Based Correlation Analysis

Iglesias-Martínez, Miguel E.; Castro-Palacio, Juan Carlos; Scholkmann, Felix; Milián-Sánchez, Victor; Fernández de Córdoba, Pedro; Mocholí Salcedo, Antonio; Mocholí-Belenguer, Ferran; Kolombet, Valeriy A.; Panchelyuga, Victor A.; Verdú Martín, Gumersindo Jesús (MDPI AG, 2020-03)

[EN] Time-series of background radiation (measured inside a multilayer structure), geomagnetic activity, and cosmic-ray activity has been analyzed using linear correlation analysis and a new correlation measure based on ...
Detection of adjacent and non-adjacent bar breakages in induction motors via convolutional analysis of sound signals

Iglesias Martínez, Miguel Enrique; Fernández de Córdoba, Pedro; Antonino Daviu, José Alfonso; Conejero, J. Alberto (MDPI AG, 2020-10)

[EN] We apply power spectral analysis based on covariance function and spectral subtraction to detect adjacent and non-adjacent bar breakages. We get a spectral pattern when the signal presents one or various broken bars, ...
Detection of nonadjacent rotor faults in induction motors via spectral subtraction and autocorrelation of stray flux signals

Iglesias-Martínez, Miguel Enrique; Fernández de Córdoba, Pedro; Antonino Daviu, José Alfonso; Conejero, J. Alberto (Institute of Electrical and Electronics Engineers, 2019-10)

[EN] In this paper, statistical signal processing techniques are applied to electromotive force signals captured in external coil sensors for adjacent and nonadjacent broken bars detection in induction motors. An algorithm ...
Development of algorithms of statistical signal processing for the detection and pattern recognitionin time series. Application to the diagnosis of electrical machines and to the features extraction in Actigraphy signals

Iglesias Martínez, Miguel Enrique (Universitat Politècnica de València, 2020-06-08)

[ES] En la actualidad, el desarrollo y aplicación de algoritmos para el reconocimiento de patrones que mejoren los niveles de rendimiento, detección y procesamiento de datos en diferentes áreas del conocimiento resulta un ...
Feature extraction and similarity of movement detection during sleep, based on higher order spectra and entropy of the actigraphy signal: Results of the Hispanic Community Health Study/Study of Latinos

Iglesias-Martinez, Miguel Enrique; Garcia-Gomez, Juan M; Sáez Silvestre, Carlos; Fernández de Córdoba, Pedro; Conejero, J. Alberto (MDPI AG, 2018)

[EN] The aim of this work was to develop a new unsupervised exploratory method of characterizing feature extraction and detecting similarity of movement during sleep through actigraphy signals. We here propose some algorithms, ...
Fluctuations in measured radioactive decay rates inside a modified Faraday cage: Correlations with space weather

Milián-Sánchez, V.; Scholkmann, F.; Fernández de Córdoba, Pedro; Mocholí Salcedo, Antonio; Mocholí-Belenguer, Ferran; Iglesias-Martínez, M. E.; Castro-Palacio, Juan Carlos; Kolombet, V. A.; Panchelyuga, V. A.; Verdú Martín, Gumersindo Jesús (Nature Publishing Group, 2020-05-22)

[EN] For several years, reports have been published about fluctuations in measured radioactive decay time-series and in some instances linked to astrophysical as well as classical environmental influences. Anomalous behaviors ...
Higher-order spectral analysis of stray flux signals for faults detection in induction motors

Iglesias Martínez, Miguel E.; Antonino Daviu, José Alfonso; Fernández de Córdoba, Pedro; Conejero, J. Alberto (UP4 Institute of Sciences, S.L., 2020-07)

[EN] This work is a review of current trends in the stray flux signal processing techniques applied to the diagnosis of electrical machines. Initially, a review of the most commonly used standard methods is performed in ...
Machinery Failure Approach and Spectral Analysis to Study the Reaction Time Dynamics over Consecutive Visual Stimuli: An Entropy-Based Model

Iglesias-Martinez, Miguel E.; Hernaiz-Guijarro, Moises; Castro-Palacio, Juan Carlos; Fernández de Córdoba, Pedro; Isidro, J.M.; Navarro-Pardo, Esperanza (MDPI AG, 2020-11)

[EN] The reaction times of individuals over consecutive visual stimuli have been studied using an entropy-based model and a failure machinery approach. The used tools include the fast Fourier transform and a spectral entropy ...
Rotor fault detection in induction motors based on time-frequency analysis using the bispectrum and the autocovariance of stray flux signals

Iglesias-Martínez, Miguel E.; Antonino Daviu, José Alfonso; Fernández de Córdoba, Pedro; Conejero, J. Alberto (MDPI AG, 2019-02-02)

[EN] The aim of this work is to find out, through the analysis of the time and frequency domains, significant differences that lead us to obtain one or several variables that may result in an indicator that allows diagnosing ...
The VHE SED modelling of Markarian 501 in 2009

Sahu, S.; López Fortín, C. E.; Iglesias Martínez, M. E.; Nagataki, S.; Fernández de Córdoba, Pedro (Oxford University Press, 2020-02)

[EN] The high energy blazar, Markarian 501 was observed as a part of multi-instrument and multiwavelength campaign spanning the whole electromagnetic spectrum for 4.5 months during March 15 to August 1, 2009. On May 1, ...