Exploració per autor "Mujica Delgado, Luis Eduardo"
Ara es mostren els items 93-112 de 154
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Combined and I indices based on principal component analysis for damage detection and localization
Tibaduiza Burgos, Diego Alexander; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José (2011)
Text en actes de congrés
Accés obertIn this paper, two indices (combined or phi index and I index), different to the presented in [1][2][3] are used to detect damages; these indices are calculated from the information obtained from the projection of the ... -
Comparative study of two hardware development boards for implementation of PCA-based algorithms in structural damage detection
Camacho-Navarro, Jhonatan; Ruiz Ordóñez, Magda; Perez-Gamboa, Oscar; Villamizar Mejía, Rodolfo; Mujica Delgado, Luis Eduardo (2015)
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Comparison of several methods for damage localization using indices and contributions based on PCA
Tibaduiza Burgos, Diego Alexander; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José (2011-07-19)
Article
Accés restringit per política de l'editorialIn previous works by the authors, it was shown the advantages of applying an active piezoelectric system in combination with Principal Component Analysis and Neural Networks as methodology for damage detection in ... -
Comparison of two robust PCA methods for damage detection in the presence of outliers
Gharibnezhad, Fahit; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José (2011-07-19)
Article
Accés restringit per política de l'editorialStatistical methods such as Principal Component Analysis (PCA) are suffering from contaminated data. For instance, variance and covariance as vital parts of PCA method are sensitive to anomalous observation called outliers. ... -
Computational statistical monitoring of hydrocarbon transportation lines
Ruiz Ordóñez, Magda; Mujica Delgado, Luis Eduardo; Mejia, Juan Manuel (2015)
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Considering temperature effect on robust principal component analysis orthogonal distance as a damage detector
Mujica Delgado, Luis Eduardo; Gharibnezhad, Fahit; Rodellar Benedé, José; Todd, Michael (2019-01-01)
Article
Accés obertIn previous works, the authors have shown the feasibility of using classical and robust principal component analysis for damage detection on structures when ultrasonic guided waves are used. It has also been demonstrated ... -
Damage assessment in a stiffened composite panel using non-linear data-driven modelling and ultrasonic guided waves
Torres-Arredondo, Miguel Angel; Tibaduiza Burgos, Diego Alexander; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José; Fritzen, Claus-Peter (2013)
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Accés obertStructural components made of composite materials are being used more often in aerospace and aeronautic structures due to their well-known properties such as high mass specific stiffness and strength. However, their ... -
Damage detection in composite materials structures under variable loads conditions by using fiber Bragg gratings and principal component analysis, involving new unfolding and scaling methods
Sierra Pérez, Julian; Güemes Gordo, Alfredo; Mujica Delgado, Luis Eduardo; Ruiz Ordóñez, Magda (2014-06-03)
Article
Accés restringit per política de l'editorialAn innovative methodology based on the use of fiber Bragg gratings as strain sensors and strain field pattern recognition is proposed for damage detection in composite materials structures. The strain field pattern recognition ... -
Damage detection in piping systems using pattern recognition techniques
Buethe, Inka; Torres-Arredondo, Miguel Angel; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José; Fritzen, Claus-Peter (2013)
Text en actes de congrés
Accés obertThe interest in the propagation of ultrasound waves in pipe-like solid waveguides arises out of several areas of the structural health monitoring (SHM) community for the detection, localization and assessment of defects ... -
Damage detection in structures using robust baseline models
Camacho-Navarro, Jhonatan; Ruiz Ordóñez, Magda; Villamizar Mejía, Rodolfo; Mujica Delgado, Luis Eduardo; Martínez, Fernando (2015)
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Damage detection in the presence of outliers based on robust PCA
Gharibnezhad, Fahit; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José (2011)
Text en actes de congrés
Accés obertIdentification of outliers in samples from univariate and multivariate populations has received considerable attention over the past few decades. Presence of outliers has undeniable effects on the results of statistical ... -
Damage detection index based on statistical inference and PCA
Mujica Delgado, Luis Eduardo; Ruiz Ordóñez, Magda; Pozo Montero, Francesc; Rodellar Benedé, José (Destech, 2011)
Comunicació de congrés
Accés obertThis paper is focused on the development of new estimators propounding if someone statistical law could estimate or infer a system without damage knowing its reliability. This new measurement considers each experiment, and ... -
Damage detection using Andrew plots
Gharibnezhad, Fahit; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José (2011)
Comunicació de congrés
Accés obertIn current work, Andrew plot is used as a new index to detect any probable damage in the structure. At the first step, using piezoelectric actuators and sensors, appropriate lamb wave is propagated and received through the ... -
Damage detection using robust fuzzy principal component analysis
Gharibnezhad, Fahit; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José; Fritzen, Claus-Peter (2013)
Text en actes de congrés
Accés obertIn this work Robust Fuzzy Principal Component Analysis (RFPCA) is used and compared with comparing with classical Principal Component Analysis (PCA) to detect and classify damages. It has been proved that the RFPCA method ... -
Damage detection using robust PCA
Gharibnezhad, Fahit; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José (2011-02-01)
Capítol de llibre
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Damages detection in cylindrical metallic specimens by means of statistical baseline models and updated daily temperature profiles
Villamizar Mejía, Rodolfo; Mujica Delgado, Luis Eduardo; Ruiz Ordóñez, Magda; Camacho-Navarro, Jhonatan; Moreno Beltran, Gustavo Adolfo (Institute of Physics (IOP), 2017)
Article
Accés obertIn previous works, damage detection of metallic specimens exposed to temperature changes has been achieved by using a statistical baseline model based on Principal Component Analysis (PCA), piezodiagnostics principle and ... -
Data-driven multiactuator piezoelectric system for structural damage localization
Mujica Delgado, Luis Eduardo; Tibaduiza Burgos, Diego Alexander; Rodellar Benedé, José (2010)
Comunicació de congrés
Accés obertIn initial studies, it has been shown that the combination of Principal Component Analysis (PCA) and the contribution plots of Q and T2-statistics can be considered an efficient technique to detect, distinguish and localize ... -
Detection of structural changes through principal component analysis (PCA) and multivariate statistical inference
Pozo Montero, Francesc; Arruga Cantalapiedra, Ignacio; Mujica Delgado, Luis Eduardo; Podivilova, Elena (2015)
Comunicació de congrés
Accés obertThis paper is focused on the development of a damage detection indicator that combines a data driven baseline model (reference pattern obtained from the healthy structure) based on principal component analysis (PCA) and ... -
Detection of structural changes through principal component analysis and multivariate statistical inference
Pozo Montero, Francesc; Arruga, Ignacio; Mujica Delgado, Luis Eduardo; Podivilova, Elena (2015)
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Detection of structural changes through principal component analysis and multivariate statistical inference
Pozo Montero, Francesc; Arruga Cantalapiedra, Ignacio; Mujica Delgado, Luis Eduardo; Ruiz Ordóñez, Magda; Podivilova, Elena (2016-01-27)
Article
Accés obertThis article introduces a new methodology for the detection of structural changes using a statistical data-driven modeling approach by means of a distributed piezoelectric active sensor network at different actuation phases. ...