Local polynomial approximation and intersection of confidence intervals for removing noise of lightning electric field measurements

Lightning electric field (LEF) measurements are aperiodic signals characterized by inherent noise of different sources, i.e., it is not possible to register a noise-free signal. In the last decade, the denoising of LEF measurements has been achieved using some time-frequency representations such as...

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Autores:
Rojas-Cubides, Herbert Enrique
Cortés-Guerrero, Camilo Andrés
Forero-Mejía, María Carolina
Tipo de recurso:
Article of journal
Fecha de publicación:
2018
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/68496
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/68496
http://bdigital.unal.edu.co/69529/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
electric field
intersection of confidence intervals
lightning flash
local polynomial approximation
noise reduction
aproximación local polinomial
campo eléctrico
intersección de intervalos de confianza
rayos
reducción de ruido
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_4e8e89ff7bdcc01ab79ae8a3406f76a4
oai_identifier_str oai:repositorio.unal.edu.co:unal/68496
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Local polynomial approximation and intersection of confidence intervals for removing noise of lightning electric field measurements
title Local polynomial approximation and intersection of confidence intervals for removing noise of lightning electric field measurements
spellingShingle Local polynomial approximation and intersection of confidence intervals for removing noise of lightning electric field measurements
62 Ingeniería y operaciones afines / Engineering
electric field
intersection of confidence intervals
lightning flash
local polynomial approximation
noise reduction
aproximación local polinomial
campo eléctrico
intersección de intervalos de confianza
rayos
reducción de ruido
title_short Local polynomial approximation and intersection of confidence intervals for removing noise of lightning electric field measurements
title_full Local polynomial approximation and intersection of confidence intervals for removing noise of lightning electric field measurements
title_fullStr Local polynomial approximation and intersection of confidence intervals for removing noise of lightning electric field measurements
title_full_unstemmed Local polynomial approximation and intersection of confidence intervals for removing noise of lightning electric field measurements
title_sort Local polynomial approximation and intersection of confidence intervals for removing noise of lightning electric field measurements
dc.creator.fl_str_mv Rojas-Cubides, Herbert Enrique
Cortés-Guerrero, Camilo Andrés
Forero-Mejía, María Carolina
dc.contributor.author.spa.fl_str_mv Rojas-Cubides, Herbert Enrique
Cortés-Guerrero, Camilo Andrés
Forero-Mejía, María Carolina
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
electric field
intersection of confidence intervals
lightning flash
local polynomial approximation
noise reduction
aproximación local polinomial
campo eléctrico
intersección de intervalos de confianza
rayos
reducción de ruido
dc.subject.proposal.spa.fl_str_mv electric field
intersection of confidence intervals
lightning flash
local polynomial approximation
noise reduction
aproximación local polinomial
campo eléctrico
intersección de intervalos de confianza
rayos
reducción de ruido
description Lightning electric field (LEF) measurements are aperiodic signals characterized by inherent noise of different sources, i.e., it is not possible to register a noise-free signal. In the last decade, the denoising of LEF measurements has been achieved using some time-frequency representations such as short-time Fourier transform (STFT), wavelet transform (WT) and fractional Fourier transform (FRFT) without definitive results. In this paper, a denoising process applied on LEF measurements using the Local Polynomial Approximation (LPA) is proposed. The window size selection is made by combining the LPA with the intersection of confidence intervals (ICI) algorithm. Furthermore, a cross-validation criterion is used to select the optimal value of the threshold parameter in the LPA-ICI denoising method. It is shown that for different signal-to-noise ratio (SNR) values, the proposed method significantly reduces the noise present in the recorded signals. Finally, a discussion about the processed signatures in terms of some lightning electric field temporal features is performed.
publishDate 2018
dc.date.issued.spa.fl_str_mv 2018-04-01
dc.date.accessioned.spa.fl_str_mv 2019-07-03T06:56:50Z
dc.date.available.spa.fl_str_mv 2019-07-03T06:56:50Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.issn.spa.fl_str_mv ISSN: 2346-2183
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identifier_str_mv ISSN: 2346-2183
url https://repositorio.unal.edu.co/handle/unal/68496
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dc.relation.spa.fl_str_mv https://revistas.unal.edu.co/index.php/dyna/article/view/64151
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Dyna
Dyna
dc.relation.references.spa.fl_str_mv Rojas-Cubides, Herbert Enrique and Cortés-Guerrero, Camilo Andrés and Forero-Mejía, María Carolina (2018) Local polynomial approximation and intersection of confidence intervals for removing noise of lightning electric field measurements. DYNA, 85 (205). pp. 264-273. ISSN 2346-2183
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia - Sede Medellín - Facultad de Minas
institution Universidad Nacional de Colombia
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Rojas-Cubides, Herbert Enrique0364e661-3038-44e4-81e6-80cd7fb8fdd6300Cortés-Guerrero, Camilo Andrés0e2a11a1-520a-4ed4-8d0a-9e4a5c46fadb300Forero-Mejía, María Carolinaa400f38b-4fc9-47e3-9379-59de25b2bc423002019-07-03T06:56:50Z2019-07-03T06:56:50Z2018-04-01ISSN: 2346-2183https://repositorio.unal.edu.co/handle/unal/68496http://bdigital.unal.edu.co/69529/Lightning electric field (LEF) measurements are aperiodic signals characterized by inherent noise of different sources, i.e., it is not possible to register a noise-free signal. In the last decade, the denoising of LEF measurements has been achieved using some time-frequency representations such as short-time Fourier transform (STFT), wavelet transform (WT) and fractional Fourier transform (FRFT) without definitive results. In this paper, a denoising process applied on LEF measurements using the Local Polynomial Approximation (LPA) is proposed. The window size selection is made by combining the LPA with the intersection of confidence intervals (ICI) algorithm. Furthermore, a cross-validation criterion is used to select the optimal value of the threshold parameter in the LPA-ICI denoising method. It is shown that for different signal-to-noise ratio (SNR) values, the proposed method significantly reduces the noise present in the recorded signals. Finally, a discussion about the processed signatures in terms of some lightning electric field temporal features is performed.Las mediciones de campo eléctrico producido por rayos (LEF) son señales aperiódicas caracterizadas por ruido inherente de diferentes fuentes, es decir, no es posible registrar una señal libre de ruido. En la última década, se ha logrado filtrar mediciones de LEF utilizando algunas representaciones tiempo-frecuencia tales como la transformación de Fourier de corto tiempo (STFT), la transformación wavelet (WT) y la transformación de Fourier fraccionaria (FRFT) sin resultados definitivos. En este trabajo, se propone un proceso de eliminación de ruido aplicado a mediciones de LEF usando la aproximación polinomial local (LPA). La selección del tamaño de la ventana se realiza combinando la LPA con el algoritmo de intersección de intervalos de confianza (ICI). Además, un criterio de validación cruzada se utiliza para seleccionar el valor óptimo del umbral en el método de reducción de ruido LPA-ICI. Se muestra que para diferentes valores de relación señal-a-ruido (SNR), el método propuesto reduce significativamente el ruido presente en las señales registradas. Finalmente, se realiza una discusión sobre las señales procesadas en términos de algunas características temporales del campo eléctrico.application/pdfspaUniversidad Nacional de Colombia - Sede Medellín - Facultad de Minashttps://revistas.unal.edu.co/index.php/dyna/article/view/64151Universidad Nacional de Colombia Revistas electrónicas UN DynaDynaRojas-Cubides, Herbert Enrique and Cortés-Guerrero, Camilo Andrés and Forero-Mejía, María Carolina (2018) Local polynomial approximation and intersection of confidence intervals for removing noise of lightning electric field measurements. DYNA, 85 (205). pp. 264-273. ISSN 2346-218362 Ingeniería y operaciones afines / Engineeringelectric fieldintersection of confidence intervalslightning flashlocal polynomial approximationnoise reductionaproximación local polinomialcampo eléctricointersección de intervalos de confianzarayosreducción de ruidoLocal polynomial approximation and intersection of confidence intervals for removing noise of lightning electric field measurementsArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL64151-385855-1-PB.pdfapplication/pdf569059https://repositorio.unal.edu.co/bitstream/unal/68496/1/64151-385855-1-PB.pdf53c80f1c2283c7850a580d15e75f04abMD51THUMBNAIL64151-385855-1-PB.pdf.jpg64151-385855-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg10032https://repositorio.unal.edu.co/bitstream/unal/68496/2/64151-385855-1-PB.pdf.jpg53ef2c5c0f0745b7dc82fd7bfb62ed3fMD52unal/68496oai:repositorio.unal.edu.co:unal/684962023-06-04 23:03:04.567Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co