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  • Wavelet Ridge as damage index: Temperature effect and compensation

     Garibnezhad, Fahit; Mujica Delgado, Luis Eduardo; Rodellar Benede, Jose Julian; Todd, Michael
    World Conference on Structural Control and Monitoring
    p. 3311-3316
    Presentation's date: 2014-07-16
    Presentation of work at congresses

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  • Fuzzy similarity classifier as damage index: Temperature effect and compensation

     Garibnezhad, Fahit; Mujica Delgado, Luis Eduardo; Rodellar Benede, Jose Julian; Todd, Michael
    European Workshop on Structural Health Monitoring
    p. 1325-1332
    Presentation's date: 2014-07-10
    Presentation of work at congresses

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  • Robust Damage Detection in Smart Structures  Open access

     Gharibnezhad, Fahit
    Department of Geotechnical Engineering and Geo-Sciences, Universitat Politècnica de Catalunya
    Theses

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    La presente tesis doctoral se dedica a la exploración y presentación de técnicas novedosas para la Monitorización y detección de defectos en estructuras (Structural Health Monitoring -SHM-) SHM es un campo actualmente en desarrollo que pretende asegurarse que las estructuras permanecen en su condición deseada para evitar cualquier catástrofe. En SHM se presentan diferentes niveles de diagnóstico, Este trabajo se concentra en el primer nivel, que se considera el más importante, la detección de los defectos. Las nuevas técnicas presentadas en esta tesis se basan en diferentes métodos estadísticos y de procesamiento de señales tales como el Análisis de Componentes Princpales (PCA) y sus variaciones robustas, Transformada wavelets, lógica difusa, gráficas de Andrew, etc. Estas técnicas de aplican sobre las ondas de vibración que se generan y se miden en la estructura utilizando trasductores apropiados. Dispositivos piezocerámicos (PZT's) se han escogido para este trabajo ya que presentan características especiales tales como: alto rendimiento, bajo consumo de energia y bajo costo.Para garantizar la eficacia de la metodología propuesta,se ha validado en diferentes laboratorios y estructuras a escala real: placas de aluminio y de material compuesto, fuselage de un avión, revestimiento del ala de un avóin, tubería, etc. Debido a la gran variedad de estructuras utilizadas, su aplicación en la industria aeroespacial y/o petrolera es prometedora.Por otra parte, los cambios ambientales pueden afectar al rendimiento de la detección de daños y propagación de la onda significativamente . En este trabajo , se estudia el efecto de las variaciones de temperatura ya que es uno de los principales factores de fluctuación del medio ambiente . Para examinar su efecto en la detección de daños, en primer lugar, todos los métodos propuestos se prueban para comprobar si son sensibles a los cambios de temperatura o no. Finalmente , se aplica un método de compensación de temperatura para garantizar que los métodos propuestos son estables y robustos incluso cuando las estructuras se someten a condiciones ambientales variantes.

    This thesis is devoted to present some novel techniques in Structural Health Monitoring (SHM). SHM is a developing field that tries to monitor structures to make sure that they remain in their desired condition to avoid any catastrophe. SHM includes different levels from damage detection area to prognosis field. This work is dedicated to the first level, which might be considered the main and most important level. New techniques presented in this work are based on different statistical and signal processing methods such as Principal Component Analysis and its robust counterpart, Wavelet Transform, Fuzzy similarity, Andrew plots, etc. These techniques are applied on the propagated waves that are activated and captured in the structure using appropriate transducers. Piezoceramic (PZT) devices are chosen in this work to capture the signals due to their special characteristics such as high performance, low energy consumption and reasonable price. To guarantee the efficiency of the suggested techniques, they are tested on different laboratory and real scale test benchmarks, such as aluminum and composite plates, fuselage, wing skeleton, tube, etc. Because of the variety of tested benchmarks, this thesis is called damage detection in smart structures. This variety may promise the ability and capability of the proposed methods on different fields such as aerospace and gas/oil industry. In addition to the normal laboratory conditions, it is shown in this work that environmental changes can affect the performance of the damage detection and wave propagation significantly. As such, there is a vital need to consider their effect. In this work, temperature change is chosen as it is one of the main environmental fluctuation factors. To scrutinize its effect on damage detection, first, the effect of temperature is considered on wave propagation and then all the proposed methods are tested to check whether they are sensitive to temperature change or not. Finally, a temperature compensation method is applied to ensure that the proposed methods are stable and robust even when structures are subjected to variant environmental conditions.

    La presente tesis doctoral se dedica a la exploración y presentación de técnicas novedosas para la Monitorización y detección de defectos en estructuras (Structural Health Monitoring -SHM-) SHM es un campo actualmente en desarrollo que pretende asegurarse que las estructuras permanecen en su condición deseada para evitar cualquier catástrofe. En SHM se presentan diferentes niveles de diagnóstico, Este trabajo se concentra en el primer nivel, que se considera el más importante, la detección de los defectos. Las nuevas técnicas presentadas en esta tesis se basan en diferentes métodos estadísticos y de procesamiento de señales tales como el Análisis de Componentes Princpales (PCA) y sus variaciones robustas, Transformada wavelets, lógica difusa, gráficas de Andrew, etc. Estas técnicas de aplican sobre las ondas de vibración que se generan y se miden en la estructura utilizando trasductores apropiados. Dispositivos piezocerámicos (PZT's) se han escogido para este trabajo ya que presentan características especiales tales como: alto rendimiento, bajo consumo de energia y bajo costo. Para garantizar la eficacia de la metodología propuesta,se ha validado en diferentes laboratorios y estructuras a escala real: placas de aluminio y de material compuesto, fuselage de un avión, revestimiento del ala de un avóin, tubería, etc. Debido a la gran variedad de estructuras utilizadas, su aplicación en la industria aeroespacial y/o petrolera es prometedora. Por otra parte, los cambios ambientales pueden afectar al rendimiento de la detección de daños y propagación de la onda significativamente . En este trabajo , se estudia el efecto de las variaciones de temperatura ya que es uno de los principales factores de fluctuación del medio ambiente . Para examinar su efecto en la detección de daños, en primer lugar, todos los métodos propuestos se prueban para comprobar si son sensibles a los cambios de temperatura o no. Finalmente , se aplica un método de compensación de temperatura para garantizar que los métodos propuestos son estables y robustos incluso cuando las estructuras se someten a condiciones ambientales variantes

  • Methodologies of damage identification using non-linear data-driven modelling

     Torres Arredondo, Miguel Angel; Tibaduiza Burgos, Diego Alexander; Buethe, Inka; Mujica Delgado, Luis Eduardo; Anaya, Maribel; Rodellar Benede, Jose Julian; Fritzen, Claus-Peter
    DOI: 10.4018/978-1-4666-5888-2
    Date of publication: 2014-07-01
    Book chapter

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  • Validation of damage identification using non-linear data-driven modelling

     Torres Arredondo, Miguel Angel; Tibaduiza Burgos, Diego Alexander; Buethe, Inka; Mujica Delgado, Luis Eduardo; Anaya, Maribel; Rodellar Benede, Jose Julian; Fritzen, Claus-Peter
    DOI: 10.4018/978-1-4666-5888-2
    Date of publication: 2014-07-01
    Book chapter

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  • A new strategy for automatic identification of atypical lymphoid cells from peripheral blood cells images

     Alferez Baquero, Edwin Santiago; Merino, Ana; Bigorra, Laura; Mujica Delgado, Luis Eduardo; Ruiz Ordoñez, Magda Liliana; Rodellar Benede, Jose Julian
    International Symposium on Technological Innovations in Laboratory Hematology
    Presentation's date: 2014-05-16
    Presentation of work at congresses

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  • Methodology for leukemia identification from digital peripheral blood cell images

     Bigorra, Laura; Alferez Baquero, Edwin Santiago; Merino, Ana; Ruiz Ordoñez, Magda Liliana; Mujica Delgado, Luis Eduardo; Rodellar Benede, Jose Julian
    International Symposium on Technological Innovations in Laboratory Hematology
    Presentation's date: 2014-05-16
    Presentation of work at congresses

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  • Control, dinàmica i aplicacions

     Ikhouane, Fayçal; Rossell Garriga, Josep Maria; Mañosa Fernández, Víctor; Pozo Montero, Francesc; Pujol Vazquez, Gisela; Palacios Quiñonero, Francisco; Rubió Massegú, Josep; Acho Zuppa, Leonardo; Vidal Segui, Yolanda; Ruiz Ordoñez, Magda Liliana; Mujica Delgado, Luis Eduardo; Mantecon Baena, Juan Antonio; Ismail Abdelkareem Moustafa, Mohammed; Bigorra Lopez, Laura; Alferez Baquero, Edwin Santiago; Tutivén Gálvez, Christian; Rodellar Benede, Jose Julian
    Competitive project

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  • Algoritmo "CSI: Canal Survey Information" para el seguimiento de los caudales extraídos en canales de regadío

     Soler Guitart, Joan; Bonet Gil, Enrique; Gomez Valentin, Manuel; Rodellar Benede, Jose Julian; Gamazo, Pablo
    Jornadas de Ingeniería del Agua
    p. 559-566
    Presentation's date: 2013-10-23
    Presentation of work at congresses

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    Automatic damage classification based on wave cluster and principal component analysis  Open access

     Garibnezhad, Fahit; Mujica Delgado, Luis Eduardo; Rodellar Benede, Jose Julian; Fritzen, Claus-Peter
    International Workshop on Structural Health Monitoring
    p. 2760-2767
    Presentation's date: 2013-09-11
    Presentation of work at congresses

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    Principal Component Analysis (PCA) plays a significant role in SHM field. There are plenty of algorithms that use PCA either directly or indirectly to detect damages in structures. Although PCA shows a successful role in damage detection but it still needs a complimentary step for automatic damage classification. It means a human effort still is required to classify different clusters that exists. Among different clas- sifiers, the wavelet classifier posses many dedicated merits. This work concentrates on automatic classification of damages with different severities. To do this, PCA is used as a tool for dimensionality reduction and then a wavelet classifier is applied on the result to classify different patterns in the structure each of which associated to significant state of the structure. This work involves experiments with composite plates powered by piezoelectric transducers as sensors and actuators. Damages are introduced into the structure as mass with different weights.

  • Un dispositivo mecánico para la plataforma Stewart

     Rodellar Benede, Jose Julian; Ismail Abdelkareem Moustafa, Mohammed
    Date of request: 2013-09-17
    Invention patent

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  • Multivariable model predictive control of water levels on a laboratory canal

     Horväth, Klaudia; Galvis Restrepo, Eduard; Gomez Valentin, Manuel; Rodellar Benede, Jose Julian; Van Overloop, P.J.
    Date of publication: 2013-08
    Book chapter

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  • Blast cell detection and lineage classification using mathematical morphology and fuzzy clustering on digital blood image analysis

     Bigorra, Laura; Alferez Baquero, Edwin Santiago; Ruiz Ordoñez, Magda Liliana; Mujica Delgado, Luis Eduardo; Merino, Anna; Rodellar Benede, Jose Julian
    International Symposium on Technological Innovations in Laboratory Hematology
    p. 1
    Presentation's date: 2013-05-10
    Presentation of work at congresses

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  • Atypical lymphoid cells detection and classification on digital blood image analysis

     Alferez Baquero, Edwin Santiago; Bigorra, Laura; Merino, Anna; Ruiz Ordoñez, Magda Liliana; Mujica Delgado, Luis Eduardo; Rodellar Benede, Jose Julian
    International Symposium on Technological Innovations in Laboratory Hematology
    p. 1
    Presentation's date: 2013-05-10
    Presentation of work at congresses

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  • Método implementado por ordenador para reconocimiento y clasificación de células sanguíneas anormales y programas informáticos para llevar a cabo el método

     Alferez Baquero, Edwin Santiago; Rodellar Benede, Jose Julian; Mujica Delgado, Luis Eduardo; Ruiz Ordoñez, Magda Liliana; Merino González, Anna
    Date of request: 2013-05-09
    Invention patent

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    Método implementado por ordenador para reconocimiento y clasificación de células sanguíneas anormales y programas informáticos para llevar a cabo el método.

    El método realiza una clasificación de células en base a técnicas de procesamiento automático y de análisis de muestras de sangre que incluye adquirir imágenes digitales de células sanguíneas anormales procedentes de células sanguíneas, y: segmentar dichas imágenes digitales de células anormales proporcionando regiones identificadas del núcleo, citoplasma y área externa de la célula de dichas células sanguíneas anormales de dichas imágenes digitales; calcular características intrínsecas de cada una de dichas regiones identificadas del núcleo, citoplasma y área externa de la célula de dichas células sanguíneas anormales comprendiendo calcular las características geométricas de dichas regiones identificadas; reconocer y clasificar automáticamente células sanguíneas anormales en base a dichas características intrínsecas calculadas de dichas regiones identificadas; y usar dichas células sanguíneas anormales reconocidas y clasificadas para realizar una orientación diagnóstica de enfermedades hematológicas.

  • Model predictive control of resonance sensitive irrigation canals.  Open access

     Horväth, Klaudia
    Department of Hydraulic, Maritime and Environmental Engineering, Universitat Politècnica de Catalunya
    Theses

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    Una manera de reducir las pérdidas en redes de riego es mediante la automatización de canales. El objetivo de la automatización es hacer que el agua llegue a los regantes en la cantidad y en el tiempo deseado. Para alcanzar este objetivo, una manera es controlar las compuertas en la red de riego mediante algún algoritmo. En este trabajo se estudia un tipo específico de canal de riego: corto y plano con tendencia a la resonancia. Se estudia el control de nivel aguas abajo usando un ejemplo de canal de tres tramos: el canal de laboratorio de la Universitat Politècnica de Catalunya. Se estudian numérica y experimentalmente los siguientes aspectos: elección de modelo para control predictivo, la posibilidad de obtener un control sin ¿offset¿ teniendo extracciones por gravedad (vertederos) y la mejor elección de variables de control.El objetivo de este trabajo es desarrollar controladores predictivos basados en modelo (MPC) centralizados con un buen rendimiento para el canal de laboratorio, que sean capaces de manejar cambios conocidos y desconocidos de consigna. También se presentan conclusiones adicionales para este tipo de canales.Por primera vez se ha implementado y comprobado experimentalmente con éxito el modelo ¿Integrator Resonance¿ (Integrador resonancia) formulado para canales con resonancia.Se ha desarrollado una nueva metodología y comprobado numérica y experimentalmente para obtener un control predictivo sin offset.Se ha estudiado la elección de variables de control: a diferencia del uso general del caudal como variable de control, se ha formulado un modelo de espacio de estado utilizando las aberturas de las compuertas cómo variable de control sin la necesidad de incluir los niveles medidos abajo de las compuertas. Se presentan resultados y conclusiones que pueden ser útiles para la gestión y el control de canales cortos con poca pendiente, y que tienen tendencia a la resonancia.

    Saving water is an economic and ecological need. One way to save water is to reduce losses in irrigation networks by canal automation. The goal of canal automation is to make the right amount of water to at arrive in the right time. In order to achieve this goal, one of the ways is controlling the gates in the irrigation network by some control algorithm. In this work the control of a specific type of canal pools is studied: short and flat pools that are prone to resonance. The downstream water level control of this type of canals is investigated using the example of the 3-reach laboratory canal of the Technical University of Catalonia. Numerical and experimental studies are carried out to investigate the following: the choice of models for predictive control, the possibility to achieve offset-free control while using gravity offtakes and the best choice of control action variables. The objective of this work is to develop a well performing centralized model predictive controller (MPC) for the laboratory canal that is able to handle known and unknown setpoint changes and disturbances, and also to draw further conclusions about controller design for this type of canals. A recently developed model for resonant canals, the Integrator Resonance, is implemented and successfully tested experimentally for the first time. A new method to achieve offset free control for model predictive control is developed and tested numerically and experimentally. A choice of control variables are tested: As opposed to the discharge which is generally used as the control action variable, a state space model is formulated by using the gate opening as control variable without the need of water level measurement downstream of the gates. The results are summarized and conclusions are presented for control of short and flat canals that are prone to resonance.

  • Red de Investigación Cooperativa en monitorización, control de vibraciones y detección de daños en estructuras inteligentes

     Rodellar Benede, Jose Julian; Mujica Delgado, Luis Eduardo; Pozo Montero, Francesc; Ruiz Ordoñez, Magda Liliana
    Competitive project

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  • Design and Validation of a Structural Health Monitoring System for Aeronautical Structures.  Open access

     Tibaduiza Burgos, Diego Alexander
    Department of Applied Mathematics III, Universitat Politècnica de Catalunya
    Theses

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    La monitorizaci6n de danos en estructuras (SHM por sus siglas en ingles) es un area que tiene como principal objetivo Iaverificaci6n del estado o Ia salud de Ia estructura con elfin de asegurar el correcto funcionamiento de esta y ahorrar costosde mantenimiento. Para esto se hace uso de sensores que son adheridos a Ia estructura, monitorizaci6n continua yalgoritmos. Diferentes beneficios se obtienen de Ia aplicaci6n de SHM, algunos de ellos son: el conocimiento sobre eldesempeno de Ia estructura cuando esta es sometida a diversas cargas ycambios ambientales, el conocimiento delestado actual de Ia estructura con elfin de determinar Ia integridad de Ia estructura ydefinir siesta puede trabajaradecuadamente o si pore! contrario debe ser reparada o reemplazada con el correspondiente beneficio del ahorro degastos de mantenimiento. El paradigm a de Ia identificaci6n de daiios (comparaci6n entre los datos obtenidos de Iaestructura sin danos yla estructura en un estado posterior para determinar cam bios) puede ser abordado como unproblema de reconocimiento de patrones. Algunas tecnicas estadisticas tales como Analisis de Componentes Principales(PCA por sus siglas en ingles) o Analisis de Componentes lndependientes (ICA por sus siglas en ingles) son muy utilespara este propos ito puesto que permiten obtener Ia informacion mas relevante de una gran cantidad de variables.Esta tesis hace uso de un sistema piezoelectrico activo para el desarrollo de algoritmos estadisticos de manejo de datospara Ia detecci6n, localizaci6n yclasificaci6n de daflos en estructuras. Este sistema piezoel8ctrico activo estapermanentemente adherido a Ia superficie de Ia estructura bajo prueba con el objeto de aplicar seiiales vibracionales deexcitaci6n y recoger las respuestas dim\ micas propagadas a traves de Ia estructura en diferentes puntas. Como tScnica dereconocimiento de patrones se usa Anal isis de Componentes Principales para realizar Ia tarea principal de Ia metodologiapropuesta: construir un modelo PC Abase de Ia estructura sin dano y posteriormente compararlo con los datos de Iaestructura bajo prueba. Adicionalmente, algunos indices de daiios son calculados para detectar anormalidades en Iaestructura bajo prueba. Para Ia localizaci6n de dai'los se us an las contribuciones de cada sensor a cada fndice, las cualesson calculadas mediante varios metodos de contribuci6n ycomparadas para mostrar sus ventajas ydesventajas.Para Ia clasificaci6n de danos, se amplia Ia metodologia de detecci6n aiiadiendo el uso de Mapas auto-organizados, loscuales son adecuadamente entrenados y validados para construir un modelo patr6n base usando proyecciones de losdatos sobre el modelo PCAbase e indices de detecci6n de daiios. Este patron es us ado como referenda para realizar undiagn6stico ciego de Ia estructura. Adicionalmente, dentro de Ia metodologia propuesta, se utiliza ICA en Iugar de PCAcomotecnica de reconocimiento de patrones. Se incluye tam bien una comparaci6n entre Ia aplicaci6n de las dos tScnicas paramostrar las ventajas ydesventajas. Para estudiar el desempeno de Ia metodologia de clasificacion de daiios bajodiferentes escenarios, esta se prueba usando datos obtenidos de una estructura sometida a diferentes temperaturas.Las metodologias desarrolladas en este trabajo fueron probadas yvalidadas usando diferentes estructuras, en particular unalabe de turbina, un esqueleto de ala yun fuselaje de avi6n, asi como algunas placas de aluminio yde material compuesto.

    Structural Health Monitoring (SHM) is an area where the main objective is the verification of the state or the health of the structures in order to ensure proper performance and maintenance cost savings using a sensor network attached to the structure, continuous monitoring and algorithms. Different benefits are derived from the implementation of SHM, some of them are: knowledge about the behavior of the structure under different loads and different environmental changes, knowledge of the current state in order to verify the integrity of the structure and determine whether a structure can work properly or whether it needs to be maintained or replaced and, therefore, to reduce maintenance costs. The paradigm of damage identification (comparison between the data collected from the structure without damages and the current structure in orderto determine if there are any changes) can be tackled as a pattern recognition problem. Some statistical techniques as Principal Component Analysis (PCA) or Independent Component Analysis (ICA) are very useful for this purpose because they allow obtaining the most relevant information from a large amount of variables. This thesis uses an active piezoelectric system to develop statistical data driven approaches for the detection, localization and classification of damages in structures. This active piezoelectric system is permanently attached to the surface of the structure under test in order to apply vibrational excitations and sensing the dynamical responses propagated through the structure at different points. As pattern recognition technique, PCA is used to perform the main task of the proposed methodology: to build a base-line model of the structure without damage and subsequentlyto compare the data from the current structure (under test) with this model. Moreover, different damage indices are calculated to detect abnormalities in the structure under test. Besides, the localization of the damage can be determined by means of the contribution of each sensor to each index. This contribution is calculated by several different methods and their comparison is performed. To classify different damages, the damage detection methodology is extended using a Self-Organizing Map (SOM), which is properly trained and validated to build a pattern baseline model using projections of the data onto the PCAmodel and damage detection indices. This baseline is further used as a reference for blind diagnosis tests of structures. Additionally, PCA is replaced by ICAas pattern recognition technique. A comparison between the two methodologies is performed highlighting advantages and disadvantages. In order to study the performance of the damage classification methodology under different scenarios, the methodology is tested using data from a structure under several different temperatures. The methodologies developed in this work are tested and validated using different structures, in particular an aircraft turbine blade, an aircraft wing skeleton, an aircraft fuselage,some aluminium plates and some composite matarials plates.

    La monitorización de daños en estructuras (SHM por sus siglas en inglés) es un área que tiene como principal objetivo la verificación del estado o la salud de la estructura con el fin de asegurar el correcto funcionamiento de esta y ahorrar costos de mantenimiento. Para esto se hace uso de sensores que son adheridos a la estructura, monitorización continua y algoritmos. Diferentes beneficios se obtienen de la aplicación de SHM, algunos de ellos son: el conocimiento sobre el desempeño de la estructura cuando esta es sometida a diversas cargas y cambios ambientales, el conocimiento del estado actual de la estructura con el fin de determinar la integridad de la estructura y definir si esta puede trabajar adecuadamente o si por el contrario debe ser reparada o reemplazada con el correspondiente beneficio del ahorro de gastos de mantenimiento. El paradigma de la identificación de daños (comparación entre los datos obtenidos de la estructura sin daños y la estructura en un estado posterior para determinar cambios) puede ser abordado como un problema de reconocimiento de patrones. Algunas técnicas estadísticas tales como Análisis de Componentes Principales (PCA por sus siglas en inglés) o Análisis de Componentes Independientes (ICA por sus siglas en ingles) son muy útiles para este propósito puesto que permiten obtener la información más relevante de una gran cantidad de variables. Esta tesis hace uso de un sistema piezoeléctrico activo para el desarrollo de algoritmos estadísticos de manejo de datos para la detección, localización y clasificación de daños en estructuras. Este sistema piezoeléctrico activo está permanentemente adherido a la superficie de la estructura bajo prueba con el objeto de aplicar señales vibracionales de excitación y recoger las respuestas dinámicas propagadas a través de la estructura en diferentes puntos. Como técnica de reconocimiento de patrones se usa Análisis de Componentes Principales para realizar la tarea principal de la metodología propuesta: construir un modelo PCA base de la estructura sin daño y posteriormente compararlo con los datos de la estructura bajo prueba. Adicionalmente, algunos índices de daños son calculados para detectar anormalidades en la estructura bajo prueba. Para la localización de daños se usan las contribuciones de cada sensor a cada índice, las cuales son calculadas mediante varios métodos de contribución y comparadas para mostrar sus ventajas y desventajas. Para la clasificación de daños, se amplia la metodología de detección añadiendo el uso de Mapas auto-organizados, los cuales son adecuadamente entrenados y validados para construir un modelo patrón base usando proyecciones de los datos sobre el modelo PCA base e índices de detección de daños. Este patrón es usado como referencia para realizar un diagnóstico ciego de la estructura. Adicionalmente, dentro de la metodología propuesta, se utiliza ICA en lugar de PCA como técnica de reconocimiento de patrones. Se incluye también una comparación entre la aplicación de las dos técnicas para mostrar las ventajas y desventajas. Para estudiar el desempeño de la metodología de clasificación de daños bajo diferentes escenarios, esta se prueba usando datos obtenidos de una estructura sometida a diferentes temperaturas. Las metodologías desarrolladas en este trabajo fueron probadas y validadas usando diferentes estructuras, en particular un álabe de turbina, un esqueleto de ala y un fuselaje de avión, así como algunas placas de aluminio y de material compuesto

  • A robust procedure for damage detection from strain measurements based on principal component analysis

     Güemes Gordo, Alfredo; Sierra Pérez, Julián; Rodellar Benede, Jose Julian; Mujica Delgado, Luis Eduardo
    Asia-Pacific Workshop on Structural Health Monitoring
    p. 1-10
    DOI: 10.4028/www.scientific.net/KEM.558.128
    Presentation's date: 2012-12
    Presentation of work at congresses

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    FBGs are excellent strain sensors, because of its low size and multiplexing capability. Tens to hundred of sensors may be embedded into a structure, as it has already been demonstrated. Nevertheless, they only afford strain measurements at local points, so unless the damage affects the strain readings in a distinguishable manner, damage will go undetected. This paper show the experimental results obtained on the wing of a UAV, instrumented with 32 FBGs, before and after small damages were introduced. The PCA algorithm was able to distinguish the damage cases, even for small cracks. Principal Component Analysis (PCA) is a technique of multivariable analysis to reduce a complex data set to a lower dimension and reveal some hidden patterns that underlie.

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    Damage assessment in a stiffened composite panel using non-linear data-driven modelling and ultrasonic guided waves  Open access

     Torres-Arredondo, Miguel Angel; Tibaduiza Burgos, Diego Alexander; Mujica Delgado, Luis Eduardo; Rodellar Benede, Jose Julian; Fritzen, Claus-Peter
    International Symposium on NDT in Aerospace
    Presentation's date: 2012-11
    Presentation of work at congresses

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    Structural 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 application also increases the analysis complexity of such structures. Structural health monitoring (SHM) systems for these structures aim to determine the status of the system in real time such that a longer safe life and lower operational costs can be guaranteed. On that account, this paper is concerned with the experimental validation of a structural health monitoring methodology where a damage detection and classification scheme based on an acousto-ultrasonic (AU) approach is applied to a composite panel incorporating stiffening elements using a piezoelectric active sensor network in conjunction with time-frequency multiresolution analysis and non-linear feature extraction. Therefore, structural dynamic responses from the simplified aircraft composite skin panel are collected and signal features are then extracted with a signal processing and data fusion methodology in terms of the wavelet transform technique and hierarchical non-linear principal component analysis. A critical comparison with linear feature extraction methods indicates that the proposed method outperforms the traditional linear methods for the purpose of damage classification. Additionally, results show that all the damages were detectable and classifiable, and the selected features proved capable of separating all damage conditions from the undamaged state.

  • Detección y clasificación de células linfoides B atípicas mediante morfología matemática y agrupamiento Fuzzy en imágenes de sangre periférica

     Alferez Baquero, Edwin Santiago; Merino, Ana; Ruiz Ordoñez, Magda Liliana; Mujica Delgado, Luis Eduardo; Rodellar Benede, Jose Julian
    Congreso Nacional de Laboratorio Clínico
    p. 431
    Presentation's date: 2012-10-23
    Presentation of work at congresses

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  • Multivariable model predictive control of water levels on a laboratory canal

     Horväth, Klaudia; Van Overloop, P.J.; Galvis Restrepo, Eduard; Gomez Valentin, Manuel; Rodellar Benede, Jose Julian
    New Frontiers of Simulation
    p. 1-12
    Presentation's date: 2012-09-12
    Presentation of work at congresses

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    Automatic control of irrigation canals can reduce the loss of water in considerable amounts, therefore it is generating ecologic and economic benefits. There have been many different types of automatic controllers developed, but only few of them had the opportunity of being tested on the field due to the long delay time and the inconveniences of interrupting the operation of the irrigation. Therefore, the automatic controllers developed for large irrigation canals should be tested before by means of numerical simulations and/or laboratory experiments. The Technical University of Catalonia possesses a laboratory irrigation canal with the length of 220m, with 3 motorized gates, and 11 level sensors that are connected to a SCADA system. This facility makes it possible to test controllers of any type, since all the instrumentation and real time operation runs within a flexible working environment running in Matlab-Simulink . The canal can be configured from one pool to three pools, which allows the development of multivariable control. A numerical model of the canal has been developed using the 1D hydrodynamic model SIC. With the help of this software it is possible to simulate the hydraulics of the canal and, due to the link between SIC and Matlab, also to test any controller developed previously in the Matlab environment. In this work a centralized multivariable model predictive controller for water levels is developed and validated by means of numerical simulation.

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    A mathematical framework for structural control integration  Open access

     Rossell Garriga, Josep Maria; Rodellar Benede, Jose Julian; Palacios Quiñonero, Francisco; Rubió Massegú, Josep
    International Conference Smart Materials, Structures and Systems
    p. 49-58
    DOI: 10.4028/www.scientific.net/AST.83.49
    Presentation's date: 2012-09
    Presentation of work at congresses

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    In this paper, some control strategies to design decentralized controllers are developed and discussed. These strategies are based on the Inclusion Principle, a very useful mathematical framework to obtain decentralized controllers, mainly when the systems are composed by overlapped subsystems sharing common parts. A five-story building model serves as example to show the advantages provided by this approach. Numerical simulations are conducted to assess the performance of the proposed control laws with positive results.

    In this paper, some control strategies to design decentralized controllers are developed and discussed. These strategies are based on the Inclusion Principle, a very useful mathematical framework to obtain decentralized controllers, mainly when the systems are composed by overlapped subsystems sharing common parts. A ve-story building model serves as example to show the advantages provided by this approach. Numerical simulations are conducted to assess the performance of the proposed control laws with positive results.

    Postprint (author’s final draft)

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    Principal component analysis vs. independent component analysis for damage detection  Open access

     Tibaduiza Burgos, Diego Alexander; Mujica Delgado, Luis Eduardo; Anaya, Maribel; Rodellar Benede, Jose Julian; Güemes, Alfredo
    European Workshop on Structural Health Monitoring
    Presentation's date: 2012-07
    Presentation of work at congresses

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    In previous works, the authors showed advantages and drawbacks of the use of PCA and ICA by separately. In this paper, a comparison of results in the application of these methodologies is presented. Both of them exploit the advantage of using a piezoelectric active system in different phases. An initial baseline model for the undamaged structure is built applying each technique to the data collected by several experiments. The current structure (damaged or not) is subjected to the same experiments and the collected data are projected into the models. In order to determine whether damage exists or not in the structure, the projections into the first and second components using PCA and ICA are depicted graphically. A comparison between these plots is performed analyzing differences and similarities, advantages and drawbacks. To validate the approach, the methodology is applied in two sections of an aircraft wing skeleton powered with several PZTs transducers.

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    Damage detection in piping systems using pattern recognition techniques  Open access

     Buethe, Inka; Torres-Arredondo, Miguel Angel; Mujica Delgado, Luis Eduardo; Rodellar Benede, Jose Julian; Fritzen, Claus-Peter
    European Workshop on Structural Health Monitoring
    p. 1-8
    Presentation's date: 2012-07
    Presentation of work at congresses

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    The 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 as well as the prediction of remaining life in civil, mechanical, aeronautic and aerospace structures. SHM premise offers a continuous observation of the structural integrity of operational systems. This is particularly convenient, therefore, for the reduction of time and cost for maintenance without decreasing the level of safety. Some practical applications are the monitoring of pipework in gas and oil industries, suspension bridge cables, nuclear fuel cladding tubes, etc. This paper describes an approach for SHM using guided waves in pipe-like structures in terms of a pattern recognition problem. The formalism is based on a distributed piezoelectric sensor network for the detection of structural dynamic responses. Several methods for signal filtration, feature selection and extraction, and data compression of the recorded time histories are discussed and evaluated. Principal Component Analysis (PCA), Non-Linear PCA (NLPCA) and Wavelet Transform are among them. Additionally, the different clusters, corresponding to each damage level are visualized with the help of Self Organizing Maps (SOM). Tests were performed on a piping system where the properties of the proposed methods are compared and appraised with experimental pitch-catch signals between the pristine and the damaged structure.

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    Damage detection using robust fuzzy principal component analysis  Open access

     Gharibnezhad, Fahit; Mujica Delgado, Luis Eduardo; Rodellar Benede, Jose Julian; Fritzen, Claus-Peter
    European Workshop on Structural Health Monitoring
    p. 1-6
    Presentation's date: 2012-07
    Presentation of work at congresses

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    In 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 achieves better result mainly because it is more compressible than classical PCA and also carries more information, hence not only it can distinguish the healthy structure from the damaged structure much sharper than the traditional counterparts but also in some cases traditional PCA is incapable of discerning the pristine from damaged structure. This work involves experimental results using pipe-like structure powered by a piezoelectric actuators and sensors.

  • Hybrid RNC-isolation of structures under near-fault earthquakes

     Ismail Abdelkareem Moustafa, Mohammed; Pozo Montero, Francesc; Rodellar Benede, Jose Julian
    American Control Conference
    p. 6132-6139
    Presentation's date: 2012-06-29
    Presentation of work at congresses

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  • Independent component analysis for detecting damages on aircraft wing skeleton

     Tibaduiza Burgos, Diego Alexander; Mujica Delgado, Luis Eduardo; Anaya, Maribel; Rodellar Benede, Jose Julian; Güemes, Alfredo
    European Conference on Structural Control
    Presentation's date: 2012-06
    Presentation of work at congresses

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  • Atypical lymphoid cells detection and classification using mathematical morphology and fuzzy clustering on digital blood image analysis

     Alferez Baquero, Edwin Santiago; Ruiz Ordoñez, Magda Liliana; Merino, Anna; Mujica Delgado, Luis Eduardo; Rodellar Benede, Jose Julian
    International Symposium on Technological Innovations in Laboratory Hematology
    p. AM64-
    Presentation's date: 2012-05
    Presentation of work at congresses

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  • The effect of the choice of the control variables of the water level control of open channels: comparison of control schemes using the ASCE Test canal 2

     Horvath, Klaudia; Gomez Valentin, Manuel; Rodellar Benede, Jose Julian
    IEEE International Conference Networking, Sensing and Control
    p. 621-626
    DOI: 10.1109/ICNSC.2013.6548810
    Presentation's date: 2012-04
    Presentation of work at congresses

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    The effect of the choice of the control action variables on centralized water level controllers for open channels is analyzed. Three models are compared. In the first model the control action variable is the discharge and then the inverse gate equation is used to calculate the gate openings. In the second case the control action variable is the gate opening and that is incorporated to the canal model - supposing that the upstream water levels of each pool are known. In the third case control variables are also the gate openings but the upstream water level of each canal pool is unknown, they are calculated by the models by using the hydraulic relationships between the variables. These three models are discussed and compared through an example of centralized Linear Quadratic Regulator (LQR) controller using as example the Test canal 2 of the ASCE.

  • MAGNETORHEOLOGICAL DAMPERS: MODELING AND CONTROL DESIGN FOR CIVIL ENGINEERING STRUCTURES

     Aguirre Carvajal, Naile
    Department of Geotechnical Engineering and Geo-Sciences, Universitat Politècnica de Catalunya
    Theses

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  • Estructuras inteligentes: sistemas de monitorización e identificación de daños con aplicación en aeronáutica y en plantas eólicas

     Rodellar Benede, Jose Julian; Mujica Delgado, Luis Eduardo; Vidal Segui, Yolanda; Pozo Montero, Francesc
    Competitive project

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  • Damage detection index based on hypothesis testing for the difference in population means

     Mujica Delgado, Luis Eduardo; Rodellar Benede, Jose Julian; Güemes, Alfredo; Pozo Montero, Francesc; Ruiz Ordoñez, Magda Liliana
    European Workshop on Structural Health Monitoring & European Conference On Prognostics and Health Management
    Presentation of work at congresses

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  • Simplified modeling of a laboratory irrigation canal for control purposes

     Galvis Restrepo, Eduard; Horväth, Klaudia; Gomez Valentin, Manuel; Rodellar Benede, Jose Julian
    Seminar for Advanced Industrial Control Applications
    p. 83-88
    Presentation's date: 2011-11
    Presentation of work at congresses

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    http://upcommons.upc.edu/e-prints/bitstream/2117/15391/1/SAICA2011_proceedings.pdf

  • Irrigation canal models for automatic control purposes  Open access

     Horväth, Klaudia; Galvis Restrepo, Eduard; Gomez Valentin, Manuel; Rodellar Benede, Jose Julian
    Jornada de Recerca i innovació a l'Escola de Camins
    p. 1-4
    Presentation's date: 2011-11-15
    Presentation of work at congresses

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    volumes during normal canal operation. In order to develop control algorithms for irrigation canals there is a need for simple linear models to be used in the algorithms. The following simple linear models are approximating the canal in order to give a base to develop control algorithms. The PAC-UPC laboratory canal (Prueba de Algoritmos de Control - Universitat Politècnica de Catalunya) is modelled (input and output discharge) using the following three models: Muskingum, Hayami and Integrator Delay Zero (IDZ) and the results are compared to measurements. All three models are able to describe the irrigation canal in an acceptable way. However, only the IDZ model can capture all the important characteristics. These tested models can be applied to represent real canals for control purposes where it is especially important to obtain good models without extensive measurements. Test campaigns are developped now in cooperation with the CHE (Confederación Hidrográfica del Ebro) in order to test control algorithms to be used in irrigation canals under their management.

  • Análisis morfológico de las células linfoides atípicas mediante técnicas de segmentación: aplicaciones al diagnóstico

     Merino, Anna; Alferez Baquero, Edwin Santiago; Mujica Delgado, Luis Eduardo; Rodellar Benede, Jose Julian
    Congreso Nacional de Laboratorio Clínico
    p. 425-426
    Presentation's date: 2011-11-08
    Presentation of work at congresses

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  • Near-fault hybrid pounding mitigation of RNC-isolated structures

     Ismail Abdelkareem Moustafa, Mohammed; Pozo Montero, Francesc; Rodellar Benede, Jose Julian
    Seminar for Advanced Industrial Control Applications
    p. 13-21
    Presentation's date: 2011-11
    Presentation of work at congresses

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  • Prueba de algoritmo de control automático en un canal de laboratorio y un canal simulado

     Horväth, Klaudia; Gomez Valentin, Manuel; Rodellar Benede, Jose Julian; Galvis Restrepo, Eduard
    Jornadas de Ingeniería del Agua
    p. 1-10
    Presentation's date: 2011-10-05
    Presentation of work at congresses

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    Numerical characterization of RNC isolator experimental prototypes  Open access

     Ismail Abdelkareem Moustafa, Mohammed; Rodellar Benede, Jose Julian
    Experimental Vibration Analysis for Civil Engineering Structures
    p. 617-624
    Presentation's date: 2011-10-04
    Presentation of work at congresses

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    The results of an extensive series of numerical simulation tests to identify the mechanical characteristics of the recently proposed roll-n-cage (RNC) isolation bearing are presented. Several different configurations of a 1/10 reduced scale prototype are included in a deep parametric study. Cyclic horizontal displacement tests considering varying test parameters of shear displacement amplitude, axial load, and loading frequency were performed. The RNC isolator shear stiffness and damping properties were investigated in terms of the different test parameters. Ultimate level tests consisted of monotonic shear loading up to the maximum displacement limit of the RNC isolator at several different axial loads were performed. The RNC isolator is subjected to a tensile axial load to check its tension capacity. Attempts were done to analytically match the resulting force-displacement relationships using the versatile hysteretic Bouc-Wen model

  • Seminario de Aplicaciones Industriales de Control Avanzado

     Rodellar Benede, Jose Julian
    Competitive project

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  • Damage detection using Andrew plots  Open access

     Gharibnezhad, Fahit; Mujica Delgado, Luis Eduardo; Rodellar Benede, Jose Julian
    International Workshop on Structural Health Monitoring
    Presentation's date: 2011-09-19
    Presentation of work at congresses

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    In 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 structure. Then Principal Component Analysis is applied to the recorded data and prepares necessary data for Andrew curves. Andrew plots are depicted based on calculated principal components. It has been shown that comparing Andrew curves from baseline, structure without damage, with current statues of structure can identify any probable damages in the structure.

  • Combined and I indices based on principal component analysis for damage detection and localization

     Tibaduiza Burgos, Diego Alexander; Mujica Delgado, Luis Eduardo; Rodellar Benede, Jose Julian
    International Workshop on Structural Health Monitoring
    p. 1250-1258
    Presentation's date: 2011-09-13
    Presentation of work at congresses

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    Damage detection index based on statistical inference and PCA  Open access

     Mujica Delgado, Luis Eduardo; Ruiz Ordoñez, Magda Liliana; Pozo Montero, Francesc; Rodellar Benede, Jose Julian
    International Workshop on Structural Health Monitoring
    Presentation's date: 2011-09-12
    Presentation of work at congresses

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    This 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 consequently, each projection to the PCA model as a random variable. An in-depth statistical analysis is performed for SHM. PCA projections are obtained from the undamaged structure (baseline projection). If these projections are considered as the set of possible results (population), then the new projections from the current structure (healthy or not) are defined as random samples. Therefore, the probability distribution of the baseline projection can be found. This new distribution can make an inference about the state of the structure and determine if there is damage in it. Consequently, the relative likelihood of each new projection is determined. If the new projection is strongly related with the population, then the structure is healthy. Otherwise, the relation indicates the damage.

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    Active-passive decentralized H-infinity control for adjacent buildings under seismic excitation  Open access

     Palacios Quiñonero, Francisco; Rossell Garriga, Josep Maria; Rodellar Benede, Jose Julian; Karimi, Hamid Reza
    World Congress of the International Federation of Automatic Control
    p. 1410-1415
    Presentation's date: 2011-08-28
    Presentation of work at congresses

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    In this paper, a control strategy to reduce the vibrational response of adjacent buildings under seismic excitation is presented. The proposed strategy combines passive linking elements with an active decentralized H-infinity control system. The overall active-passive control system admits decentralized design and operation, and achieves an excellent vibrational reduction when the active control system works; in case of a full or partial failure of the active control system, a remarkable reduction in the vibrational response is guaranteed by the passive linking elements. For adjacent buildings that require different levels of seismic protection, the implementation of an active H-infinity control system in just one of the buildings is also considered. The main ideas are presented by means of a simplified two-building model. Numerical simulations have been carried out to assess the performance of the proposed methodology with promising results

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    Active-passive control strategy for adjacent buildings  Open access

     Palacios Quiñonero, Francisco; Rossell Garriga, Josep Maria; Rodellar Benede, Jose Julian; Karimi, Hamid Reza
    American Control Conference
    p. 3110-3115
    Presentation's date: 2011-07-01
    Presentation of work at congresses

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    In this paper, a control strategy to mitigate the vibrational response of adjacent buildings under seismic excitation is presented. The proposed strategy combines interbuilding passive actuators with active actuators placed in the building stories. The main ideas are presented by means of a simplified two-building model; however, a semi-decentralized overlapping approach via the inclusion principle has been used to impose a proper information exchange structure suitable for wireless control of large buildings. Numerical simulations have been carried out to assess the performance of the proposed methodology with promising results. The overall control system exhibits some degree of fault-tolerance since only partial degradation of the control performance results from partial failures of the control system.

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    Damage detection in the presence of outliers based on robust PCA  Open access

     Gharibnezhad, Fahit; Mujica Delgado, Luis Eduardo; Rodellar Benede, Jose Julian
    International Conference on Structural Dynamics
    Presentation's date: 2011-07-12
    Presentation of work at congresses

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    Identification 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 methods such as Principal Component Analysis (PCA). Outliers, anomalous observations, can affect the variance and covariance as vital parts of PCA method. In statistical sense outliers are samples from a different population than the data majority. An effective way to deal with this problem is to apply a robust, i.e. not sensitive to outliers, variant of PCA. In this work a robust PCA method is used instead of classical PCA in order to construct a model using data with outliers to detect and distinguish damages in structures. The comparisons of the results shows that, the use some indexes based on the robust model,can distinguish the damages much better than using classical one, and even in many cases allows the detection where classic PCA is not able to discern between damaged and non-damaged structure. This work involves experiments with an aircraft turbine blade using piezoelectric transducers as sensors and actuators and simulated damages.

  • Passive-active vibration control for connected multi-building structures

     Palacios Quiñonero, Francisco; Rossell Garriga, Josep Maria; Rodellar Benede, Jose Julian; Pons López, Raul
    European Conference on Structural Dynamics
    p. 1931-1938
    Presentation's date: 2011-07-06
    Presentation of work at congresses

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