Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Miguel Enrique Iglesias Martínez"'
Autor:
Miguel Enrique Iglesias Martínez, Pedro Fernández de Córdoba, Jose Alfonso Antonino-Daviu, J. Alberto Conejero
Publikováno v:
Applied Sciences, Vol 10, Iss 19, p 6641 (2020)
We apply power spectral analysis based on covariance function and spectral subtraction to detect adjacent and non-adjacent bar breakages. We obtain a spectral pattern when the signal presents one or various broken bars, independent of the relative po
Externí odkaz:
https://doaj.org/article/9db6be0f7ba1411a8c9f1ef458f9c326
Autor:
Miguel Enrique Iglesias Martínez, Juan M. García-Gomez, Carlos Sáez, Pedro Fernández de Córdoba, J. Alberto Conejero
Publikováno v:
Sensors, Vol 18, Iss 12, p 4310 (2018)
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, based on signal bispectrum a
Externí odkaz:
https://doaj.org/article/94e86f9e39414a2c8ffebed54e67e52e
Autor:
Miguel Enrique Iglesias Martínez, Bárbaro Maykel López-Portilla Vigil, Fidel Ernesto Hernández Montero
Publikováno v:
Revista Ingeniería Electrónica, Automática y Comunicaciones, Vol 34, Iss 2, Pp 48-62 (2013)
En este trabajo se propone la implementación sobre FPGA de un modelo conjunto que aplica las características estadísticas (cumulantes) de orden superior, combinadas a un proceso de convolución, lo cual permite obtener las componentes espectrales
Externí odkaz:
https://doaj.org/article/9ac9c7fd7981436d9e1993bd4716dc0a
Autor:
Miguel Enrique Iglesias Martínez, Miguel Ángel García March, Carles Milián Enrique, Pedro Fernández de Córdoba
Publikováno v:
Algorithms for Noise Reduction in Signals ISBN: 9780750335911
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::490d8d6952735630c1c617beaa6dd474
https://doi.org/10.1088/978-0-7503-3591-1ch2
https://doi.org/10.1088/978-0-7503-3591-1ch2
Autor:
Miguel Enrique Iglesias Martínez, Miguel Ángel García March, Carles Milián Enrique, Pedro Fernández de Córdoba
Publikováno v:
Algorithms for Noise Reduction in Signals ISBN: 9780750335911
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9bb216a75197e83540ac4837154d5a1
https://doi.org/10.1088/978-0-7503-3591-1ch1
https://doi.org/10.1088/978-0-7503-3591-1ch1
Autor:
Miguel Enrique Iglesias Martínez, Miguel Ángel García March, Carles Milián Enrique, Pedro Fernández de Córdoba
Publikováno v:
Algorithms for Noise Reduction in Signals ISBN: 9780750335911
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8320a5ef1114585e7fc9ce0d542902d
https://doi.org/10.1088/978-0-7503-3591-1ch3
https://doi.org/10.1088/978-0-7503-3591-1ch3
Autor:
Carlos A. Platero, J. Alberto Conejero, Jose A. Antonino-Daviu, Pedro Fernández de Córdoba, Miguel Enrique Iglesias Martínez, Larisa Dunai
Publikováno v:
INDIN
In this work, the application of multifractal spectrum of higher order cumulants slice and bicoherence of stator current signals is proposed as a way to detect field winding faults in wound field synchronous motors. These signals are analyzed both un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dfed3f169e2e4824e3d7abb9caf8126
https://doi.org/10.1109/indin45523.2021.9557485
https://doi.org/10.1109/indin45523.2021.9557485
Autor:
Jose A. Antonino-Daviu, Alberto Conejero, Larisa Dunai, Pedro Fernández de Córdoba, Miguel Enrique Iglesias Martínez, Carlos A. Platero
Publikováno v:
ISIE
In this work, the application of an unsupervised algorithm based on Singular Values Decomposition (SVD) and on the Envelope Spectral Kurtosis of stray flux signals is proposed as a way to detect field winding faults in synchronous motors. These signa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2909e630c1b1b4fe1a6347d6ef926df0
https://doi.org/10.1109/isie45552.2021.9576426
https://doi.org/10.1109/isie45552.2021.9576426