Um algoritmo para estimação de estado em alimentadores de distribuição de energia elétrica com base no método da soma de potências

Most algorithms for state estimation based on the classical model are just adequate for use in transmission networks. Few algorithms were developed specifically for distribution systems, probably because of the little amount of data available in real time. Most overhead feeders possess just current and voltage measurements at the middle voltage bus-bar at the substation. In this way, classical algorithms are of difficult implementation, even considering off-line acquired data as pseudo-measurements. However, the necessity of automating the operation of distribution networks, mainly in regard to the selectivity of protection systems, as well to implement possibilities of load transfer maneuvers, is changing the network planning policy. In this way, some equipments incorporating telemetry and command modules have been installed in order to improve operational features, and so increasing the amount of measurement data available in real-time in the System Operation Center (SOC). This encourages the development of a state estimator model, involving real-time information and pseudo-measurements of loads, that are built from typical power factors and utilization factors (demand factors) of distribution transformers. This work reports about the development of a new state estimation method, specific for radial distribution systems. The main algorithm of the method is based on the power summation load flow. The estimation is carried out piecewise, section by section of the feeder, going from the substation to the terminal nodes. For each section, a measurement model is built, resulting in a nonlinear overdetermined equations set, whose solution is achieved by the Gaussian normal equation. The estimated variables of a section are used as pseudo-measurements for the next section. In general, a measurement set for a generic section consists of pseudo-measurements of power flows and nodal voltages obtained from the previous section or measurements in real-time, if they exist -, besides pseudomeasurements of injected powers for the power summations, whose functions are the load flow equations, assuming that the network can be represented by its single-phase equivalent. The great advantage of the algorithm is its simplicity and low computational effort. Moreover, the algorithm is very efficient, in regard to the accuracy of the estimated values. Besides the power summation state estimator, this work shows how other algorithms could be adapted to provide state estimation of middle voltage substations and networks, namely Schweppes method and an algorithm based on current proportionality, that is usually adopted for network planning tasks. Both estimators were implemented not only as alternatives for the proposed method, but also looking for getting results that give support for its validation. Once in most cases no power measurement is performed at beginning of the feeder and this is required for implementing the power summation estimations method, a new algorithm for estimating the network variables at the middle voltage bus-bar was also developed

Estrutura de comunidades e influência da heterogeneidade ambiente na diversidade de anuros em área de pastagem no sudeste do Brasil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Desenvolvimento de um sistema de gerenciamento de energia (EMS - Energy Management System) para a rede elétrica inteligente (Smart Grid)

Pós-graduação em Engenharia Elétrica - FEIS

Nonlinear state estimation and control for chaos suppression in MEMS resonator

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Distinctive Convergence in Australian Floral Colours Seen Through the Eyes of Australian Birds

We used a colour-space model of avian vision to assess whether a distinctive bird pollination syndrome exists for floral colour among Australian angiosperms. We also used a novel phylogenetically based method to assess whether such a syndrome represents a significant degree of convergent evolution. About half of the 80 species in our sample that attract nectarivorous birds had floral colours in a small, isolated region of colour space characterized by an emphasis on long-wavelength reflection. The distinctiveness of this 'red arm' region was much greater when colours were modelled for violet-sensitive (VS) avian vision than for the ultraviolet-sensitive visual system. Honeyeaters (Meliphagidae) are the dominant avian nectarivores in Australia and have VS vision. Ancestral state reconstructions suggest that 31 lineages evolved into the red arm region, whereas simulations indicate that an average of five or six lineages and a maximum of 22 are likely to have entered in the absence of selection. Thus, significant evolutionary convergence on a distinctive floral colour syndrome for bird pollination has occurred in Australia, although only a subset of bird-pollinated taxa belongs to this syndrome. The visual system of honeyeaters has been the apparent driver of this convergence.

A Food Recognition System for Diabetic Patients based on an Optimized Bag of Features Model

Computer vision-based food recognition could be used to estimate a meal's carbohydrate content for diabetic patients. This study proposes a methodology for automatic food recognition, based on the Bag of Features (BoF) model. An extensive technical investigation was conducted for the identification and optimization of the best performing components involved in the BoF architecture, as well as the estimation of the corresponding parameters. For the design and evaluation of the prototype system, a visual dataset with nearly 5,000 food images was created and organized into 11 classes. The optimized system computes dense local features, using the scale-invariant feature transform on the HSV color space, builds a visual dictionary of 10,000 visual words by using the hierarchical k-means clustering and finally classifies the food images with a linear support vector machine classifier. The system achieved classification accuracy of the order of 78%, thus proving the feasibility of the proposed approach in a very challenging image dataset.

Homography-based ground plane detection using a single on-board camera

This study presents a robust method for ground plane detection in vision-based systems with a non-stationary camera. The proposed method is based on the reliable estimation of the homography between ground planes in successive images. This homography is computed using a feature matching approach, which in contrast to classical approaches to on-board motion estimation does not require explicit ego-motion calculation. As opposed to it, a novel homography calculation method based on a linear estimation framework is presented. This framework provides predictions of the ground plane transformation matrix that are dynamically updated with new measurements. The method is specially suited for challenging environments, in particular traffic scenarios, in which the information is scarce and the homography computed from the images is usually inaccurate or erroneous. The proposed estimation framework is able to remove erroneous measurements and to correct those that are inaccurate, hence producing a reliable homography estimate at each instant. It is based on the evaluation of the difference between the predicted and the observed transformations, measured according to the spectral norm of the associated matrix of differences. Moreover, an example is provided on how to use the information extracted from ground plane estimation to achieve object detection and tracking. The method has been successfully demonstrated for the detection of moving vehicles in traffic environments.

Metodologías de modelado, monitorización y asistencia robótica en neurorrehabilitación funcional de extremidad superior

La Organización Mundial de la Salud (OMS) prevé que para el año 2020, el Daño Cerebral Adquirido (DCA) estará entre las 10 causas más comunes de discapacidad. Estas lesiones, dadas sus consecuencias físicas, sensoriales, cognitivas, emocionales y socioeconómicas, cambian dramáticamente la vida de los pacientes y sus familias. Las nuevas técnicas de intervención precoz y el desarrollo de la medicina intensiva en la atención al DCA han mejorado notablemente la probabilidad de supervivencia. Sin embargo, hoy por hoy, las lesiones cerebrales no tienen ningún tratamiento quirúrgico que tenga por objetivo restablecer la funcionalidad perdida, sino que las terapias rehabilitadoras se dirigen hacia la compensación de los déficits producidos. Uno de los objetivos principales de la neurorrehabilitación es, por tanto, dotar al paciente de la capacidad necesaria para ejecutar las Actividades de Vida Diaria (AVDs) necesarias para desarrollar una vida independiente, siendo fundamentales aquellas en las que la Extremidad Superior (ES) está directamente implicada, dada su gran importancia a la hora de la manipulación de objetos. Con la incorporación de nuevas soluciones tecnológicas al proceso de neurorrehabilitación se pretende alcanzar un nuevo paradigma centrado en ofrecer una práctica personalizada, monitorizada y ubicua con una valoración continua de la eficacia y de la eficiencia de los procedimientos y con capacidad de generar conocimientos que impulsen la ruptura del paradigma de actual. Los nuevos objetivos consistirán en minimizar el impacto de las enfermedades que afectan a la capacidad funcional de las personas, disminuir el tiempo de incapacidad y permitir una gestión más eficiente de los recursos. Estos objetivos clínicos, de gran impacto socio-económico, sólo pueden alcanzarse desde una apuesta decidida en nuevas tecnologías, metodologías y algoritmos capaces de ocasionar la ruptura tecnológica necesaria que permita superar las barreras que hasta el momento han impedido la penetración tecnológica en el campo de la rehabilitación de manera universal. De esta forma, los trabajos y resultados alcanzados en la Tesis son los siguientes: 1. Modelado de AVDs: como paso previo a la incorporación de ayudas tecnológicas al proceso rehabilitador, se hace necesaria una primera fase de modelado y formalización del conocimiento asociado a la ejecución de las actividades que se realizan como parte de la terapia. En particular, las tareas más complejas y a su vez con mayor repercusión terapéutica son las AVDs, cuya formalización permitirá disponer de modelos de movimiento sanos que actuarán de referencia para futuros desarrollos tecnológicos dirigidos a personas con DCA. Siguiendo una metodología basada en diagramas de estados UML se han modelado las AVDs 'servir agua de una jarra' y 'coger un botella' 2. Monitorización ubícua del movimiento de la ES: se ha diseñado, desarrollado y validado un sistema de adquisición de movimiento basado en tecnología inercial que mejora las limitaciones de los dispositivos comerciales actuales (coste muy elevado e incapacidad para trabajar en entornos no controlados); los altos coeficientes de correlación y los bajos niveles de error obtenidos en los corregistros llevados a cabo con el sistema comercial BTS SMART-D demuestran la alta precisión del sistema. También se ha realizado un trabajo de investigación exploratorio de un sistema de captura de movimiento de coste muy reducido basado en visión estereoscópica, habiéndose detectado los puntos clave donde se hace necesario incidir desde un punto de vista tecnológico para su incorporación en un entorno real 3. Resolución del Problema Cinemático Inverso (PCI): se ha diseñado, desarrollado y validado una solución al PCI cuando el manipulador se corresponde con una ES humana estudiándose 2 posibles alternativas, una basada en la utilización de un Perceptrón Multicapa (PMC) y otra basada en sistemas Artificial Neuro-Fuzzy Inference Systems (ANFIS). La validación, llevada a cabo utilizando información relativa a los modelos disponibles de AVDs, indica que una solución basada en un PMC con 3 neuronas en la capa de entrada, una capa oculta también de 3 neuronas y una capa de salida con tantas neuronas como Grados de Libertad (GdLs) tenga el modelo de la ES, proporciona resultados, tanto de precisión como de tiempo de cálculo, que la hacen idónea para trabajar en sistemas con requisitos de tiempo real 4. Control inteligente assisted-as-needed: se ha diseñado, desarrollado y validado un algoritmo de control assisted-as-needed para una ortesis robótica con capacidades de actuación anticipatoria de la que existe un prototipo implementado en la actualidad. Los resultados obtenidos demuestran cómo el sistema es capaz de adaptarse al perfil disfuncional del paciente activando la ayuda en instantes anteriores a la ocurrencia de movimientos incorrectos. Esta estrategia implica un aumento en la participación del paciente y, por tanto, en su actividad muscular, fomentándose los procesos la plasticidad cerebral responsables del reaprendizaje o readaptación motora 5. Simuladores robóticos para planificación: se propone la utilización de un simulador robótico assisted-as-needed como herramienta de planificación de sesiones de rehabilitación personalizadas y con un objetivo clínico marcado en las que interviene una ortesis robotizada. Los resultados obtenidos evidencian como, tras la ejecución de ciertos algoritmos sencillos, es posible seleccionar automáticamente una configuración para el algoritmo de control assisted-as-needed que consigue que la ortesis se adapte a los criterios establecidos desde un punto de vista clínico en función del paciente estudiado. Estos resultados invitan a profundizar en el desarrollo de algoritmos más avanzados de selección de parámetros a partir de baterías de simulaciones Estos trabajos han servido para corroborar las hipótesis de investigación planteadas al inicio de la misma, permitiendo, asimismo, la apertura de nuevas líneas de investigación. Summary The World Health Organization (WHO) predicts that by the year 2020, Acquired Brain Injury (ABI) will be among the ten most common ailments. These injuries dramatically change the life of the patients and their families due to their physical, sensory, cognitive, emotional and socio-economic consequences. New techniques of early intervention and the development of intensive ABI care have noticeably improved the survival rate. However, in spite of these advances, brain injuries still have no surgical or pharmacological treatment to re-establish the lost functions. Neurorehabilitation therapies address this problem by restoring, minimizing or compensating the functional alterations in a person disabled because of a nervous system injury. One of the main objectives of Neurorehabilitation is to provide patients with the capacity to perform specific Activities of the Daily Life (ADL) required for an independent life, especially those in which the Upper Limb (UL) is directly involved due to its great importance in manipulating objects within the patients' environment. The incorporation of new technological aids to the neurorehabilitation process tries to reach a new paradigm focused on offering a personalized, monitored and ubiquitous practise with continuous assessment of both the efficacy and the efficiency of the procedures and with the capacity of generating new knowledge. New targets will be to minimize the impact of the sicknesses affecting the functional capabilitiies of the subjects, to decrease the time of the physical handicap and to allow a more efficient resources handling. These targets, of a great socio-economic impact, can only be achieved by means of new technologies and algorithms able to provoke the technological break needed to beat the barriers that are stopping the universal penetration of the technology in the field of rehabilitation. In this way, this PhD Thesis has achieved the following results: 1. ADL Modeling: as a previous step to the incorporation of technological aids to the neurorehabilitation process, it is necessary a first modelling and formalization phase of the knowledge associated to the execution of the activities that are performed as a part of the therapy. In particular, the most complex and therapeutically relevant tasks are the ADLs, whose formalization will produce healthy motion models to be used as a reference for future technological developments. Following a methodology based on UML state-chart diagrams, the ADLs 'serving water from a jar' and 'picking up a bottle' have been modelled 2. Ubiquitous monitoring of the UL movement: it has been designed, developed and validated a motion acquisition system based on inertial technology that improves the limitations of the current devices (high monetary cost and inability of working within uncontrolled environments); the high correlation coefficients and the low error levels obtained throughout several co-registration sessions with the commercial sys- tem BTS SMART-D show the high precision of the system. Besides an exploration of a very low cost stereoscopic vision-based motion capture system has been carried out and the key points where it is necessary to insist from a technological point of view have been detected 3. Inverse Kinematics (IK) problem solving: a solution to the IK problem has been proposed for a manipulator that corresponds to a human UL. This solution has been faced by means of two different alternatives, one based on a Mulilayer Perceptron (MLP) and another based on Artificial Neuro-Fuzzy Inference Systems (ANFIS). The validation of these solutions, carried out using the information regarding the previously generated motion models, indicate that a MLP-based solution, with an architecture consisting in 3 neurons in the input layer, one hidden layer of 3 neurons and an output layer with as many neurons as the number of Degrees of Freedom (DoFs) that the UL model has, is the one that provides the best results both in terms of precission and in terms of processing time, making in idoneous to be integrated within a system with real time restrictions 4. Assisted-as-needed intelligent control: an assisted-as-needed control algorithm with anticipatory actuation capabilities has been designed, developed and validated for a robotic orthosis of which there is an already implemented prototype. Obtained results demonstrate that the control system is able to adapt to the dysfunctional profile of the patient by triggering the assistance right before an incorrect movement is going to take place. This strategy implies an increase in the participation of the patients and in his or her muscle activity, encouraging the neural plasticity processes in charge of the motor learning 5. Planification with a robotic simulator: in this work a robotic simulator is proposed as a planification tool for personalized rehabilitation sessions under a certain clinical criterium. Obtained results indicate that, after the execution of simple parameter selection algorithms, it is possible to automatically choose a specific configuration that makes the assisted-as-needed control algorithm to adapt both to the clinical criteria and to the patient. These results invite researchers to work in the development of more complex parameter selection algorithms departing from simulation batteries Obtained results have been useful to corroborate the hypotheses set out at the beginning of this PhD Thesis. Besides, they have allowed the creation of new research lines in all the studied application fields.

Visual Tracking, Pose Estimation, and Control for Aerial Vehicles

El principal objetivo de esta tesis es dotar a los vehículos aéreos no tripulados (UAVs, por sus siglas en inglés) de una fuente de información adicional basada en visión. Esta fuente de información proviene de cámaras ubicadas a bordo de los vehículos o en el suelo. Con ella se busca que los UAVs realicen tareas de aterrizaje o inspección guiados por visión, especialmente en aquellas situaciones en las que no haya disponibilidad de estimar la posición del vehículo con base en GPS, cuando las estimaciones de GPS no tengan la suficiente precisión requerida por las tareas a realizar, o cuando restricciones de carga de pago impidan añadir sensores a bordo de los vehículos. Esta tesis trata con tres de las principales áreas de la visión por computador: seguimiento visual y estimación visual de la pose (posición y orientación), que a su vez constituyen la base de la tercera, denominada control servo visual, que en nuestra aplicación se enfoca en el empleo de información visual para controlar los UAVs. Al respecto, esta tesis se ocupa de presentar propuestas novedosas que permitan solucionar problemas relativos al seguimiento de objetos mediante cámaras ubicadas a bordo de los UAVs, se ocupa de la estimación de la pose de los UAVs basada en información visual obtenida por cámaras ubicadas en el suelo o a bordo, y también se ocupa de la aplicación de las técnicas propuestas para solucionar diferentes problemas, como aquellos concernientes al seguimiento visual para tareas de reabastecimiento autónomo en vuelo o al aterrizaje basado en visión, entre otros. Las diversas técnicas de visión por computador presentadas en esta tesis se proponen con el fin de solucionar dificultades que suelen presentarse cuando se realizan tareas basadas en visión con UAVs, como las relativas a la obtención, en tiempo real, de estimaciones robustas, o como problemas generados por vibraciones. Los algoritmos propuestos en esta tesis han sido probados con información de imágenes reales obtenidas realizando pruebas on-line y off-line. Diversos mecanismos de evaluación han sido empleados con el propósito de analizar el desempeño de los algoritmos propuestos, entre los que se incluyen datos simulados, imágenes de vuelos reales, estimaciones precisas de posición empleando el sistema VICON y comparaciones con algoritmos del estado del arte. Los resultados obtenidos indican que los algoritmos de visión por computador propuestos tienen un desempeño que es comparable e incluso mejor al de algoritmos que se encuentran en el estado del arte. Los algoritmos propuestos permiten la obtención de estimaciones robustas en tiempo real, lo cual permite su uso en tareas de control visual. El desempeño de estos algoritmos es apropiado para las exigencias de las distintas aplicaciones examinadas: reabastecimiento autónomo en vuelo, aterrizaje y estimación del estado del UAV. Abstract The main objective of this thesis is to provide Unmanned Aerial Vehicles (UAVs) with an additional vision-based source of information extracted by cameras located either on-board or on the ground, in order to allow UAVs to develop visually guided tasks, such as landing or inspection, especially in situations where GPS information is not available, where GPS-based position estimation is not accurate enough for the task to develop, or where payload restrictions do not allow the incorporation of additional sensors on-board. This thesis covers three of the main computer vision areas: visual tracking and visual pose estimation, which are the bases the third one called visual servoing, which, in this work, focuses on using visual information to control UAVs. In this sense, the thesis focuses on presenting novel solutions for solving the tracking problem of objects when using cameras on-board UAVs, on estimating the pose of the UAVs based on the visual information collected by cameras located either on the ground or on-board, and also focuses on applying these proposed techniques for solving different problems, such as visual tracking for aerial refuelling or vision-based landing, among others. The different computer vision techniques presented in this thesis are proposed to solve some of the frequently problems found when addressing vision-based tasks in UAVs, such as obtaining robust vision-based estimations at real-time frame rates, and problems caused by vibrations, or 3D motion. All the proposed algorithms have been tested with real-image data in on-line and off-line tests. Different evaluation mechanisms have been used to analyze the performance of the proposed algorithms, such as simulated data, images from real-flight tests, publicly available datasets, manually generated ground truth data, accurate position estimations using a VICON system and a robotic cell, and comparison with state of the art algorithms. Results show that the proposed computer vision algorithms obtain performances that are comparable to, or even better than, state of the art algorithms, obtaining robust estimations at real-time frame rates. This proves that the proposed techniques are fast enough for vision-based control tasks. Therefore, the performance of the proposed vision algorithms has shown to be of a standard appropriate to the different explored applications: aerial refuelling and landing, and state estimation. It is noteworthy that they have low computational overheads for vision systems.

A knowledge based framework to support active aging at home based environments

Information and Communication Technologies can support Active Aging strategies in a scenario like the Smart Home. This paper details a person centered distributed framework, called TALISMAN+, whose aim is to promote personal autonomy by taking advantage of knowledge based technologies, sensors networks, mobile devices and internet. The proposed solution can support an elderly person to keep living alone at his house without being obliged to move to a residential center. The framework is composed by five subsystems: a reasoning module that is able to take local decisions at home in order to support active aging, a biomedical variables telemonitorisation platform running on a mobile device, a hybrid reasoning middleware aimed to assess cardiovascular risk in a remote way, a private vision based sensor subsystem, and a secure telematics solution that guarantees confidentiality for personal information. TALISMAN+ framework deployment is being evaluated at a real environment like the Accessible Digital Home.

Autonomous Landing of an Unmanned Aerial Vehicle using Image-Based Fuzzy Control

This paper presents a vision based autonomous landing control approach for unmanned aerial vehicles (UAV). The 3D position of an unmanned helicopter is estimated based on the homographies estimated of a known landmark. The translation and altitude estimation of the helicopter against the helipad position are the only information that is used to control the longitudinal, lateral and descend speeds of the vehicle. The control system approach consists in three Fuzzy controllers to manage the speeds of each 3D axis of the aircraft s coordinate system. The 3D position estimation was proven rst, comparing it with the GPS + IMU data with very good results. The robust of the vision algorithm against occlusions was also tested. The excellent behavior of the Fuzzy control approach using the 3D position estimation based in homographies was proved in an outdoors test using a real unmanned helicopter.

Optimized HOG for on-road video based vehicle verification

Vision-based object detection from a moving platform becomes particularly challenging in the field of advanced driver assistance systems (ADAS). In this context, onboard vision-based vehicle verification strategies become critical, facing challenges derived from the variability of vehicles appearance, illumination, and vehicle speed. In this paper, an optimized HOG configuration for onboard vehicle verification is proposed which not only considers its spatial and orientation resolution, but descriptor processing strategies and classification. An in-depth analysis of the optimal settings for HOG for onboard vehicle verification is presented, in the context of SVM classification with different kernels. In contrast to many existing approaches, the evaluation is realized in a public and heterogeneous database of vehicle and non-vehicle images in different areas of the road, rendering excellent verification rates that outperform other similar approaches in the literature.

Online Learning-based Robust Visual Tracking for Autonomous Landing of Unmanned Aerial Vehicles

Autonomous landing is a challenging and important technology for both military and civilian applications of Unmanned Aerial Vehicles (UAVs). In this paper, we present a novel online adaptive visual tracking algorithm for UAVs to land on an arbitrary field (that can be used as the helipad) autonomously at real-time frame rates of more than twenty frames per second. The integration of low-dimensional subspace representation method, online incremental learning approach and hierarchical tracking strategy allows the autolanding task to overcome the problems generated by the challenging situations such as significant appearance change, variant surrounding illumination, partial helipad occlusion, rapid pose variation, onboard mechanical vibration (no video stabilization), low computational capacity and delayed information communication between UAV and Ground Control Station (GCS). The tracking performance of this presented algorithm is evaluated with aerial images from real autolanding flights using manually- labelled ground truth database. The evaluation results show that this new algorithm is highly robust to track the helipad and accurate enough for closing the vision-based control loop.

Online Learning-based Robust Visual Tracking for Autonomous Landing of Unmanned Aerial Vehicles

Autonomous landing is a challenging and important technology for both military and civilian applications of Unmanned Aerial Vehicles (UAVs). In this paper, we present a novel online adaptive visual tracking algorithm for UAVs to land on an arbitrary field (that can be used as the helipad) autonomously at real-time frame rates of more than twenty frames per second. The integration of low-dimensional subspace representation method, online incremental learning approach and hierarchical tracking strategy allows the autolanding task to overcome the problems generated by the challenging situations such as significant appearance change, variant surrounding illumination, partial helipad occlusion, rapid pose variation, onboard mechanical vibration (no video stabilization), low computational capacity and delayed information communication between UAV and Ground Control Station (GCS). The tracking performance of this presented algorithm is evaluated with aerial images from real autolanding flights using manually- labelled ground truth database. The evaluation results show that this new algorithm is highly robust to track the helipad and accurate enough for closing the vision-based control loop.

Teoría y práctica de la restauración de la Mezquita-Catedral de Córdoba durante el siglo XX

La Mezquita-Catedral de Córdoba es un edificio vivo. Un edificio que ha sido transformado sucesivamente por hombres de razas, culturas y religiones distintas durante sus más de 1.200 años de vida y que, a pesar de ello, no ha dejado de estar en uso ni uno solo de esos días de esa larga vida. De esta forma, el edificio se muestra ante el visitante como un complejo objeto arquitectónico, resultado de una continua transformación. La capacidad de la transformación de los edificios es algo inherente a su propia condición arquitectónica, no es un hecho exclusivo de la Mezquita-Catedral. Sin embargo, en este edificio esa transformación se produce con una gran intensidad y sin pérdida de su autenticidad. Tradicionalmente, los edificios se han adaptado a los nuevos requerimientos de cada época en un proceso que ha buscado en el propio edificio las leyes o principios que habían de regir la intervención. De esta forma, tanto las sucesivas ampliaciones de la Mezquita de Abd al-Rahman I como las siguientes intervenciones cristianas debieron asumir lo preexistente como material de trabajo. Así, los arquitectos del califa al-Hakam II dialogaron con sus antecesores complejizando el espacio que recibieron, así como los Hernán Ruiz consiguieron un nuevo organismo resultante de la introducción de su arquitectura luminosa en la trama hispanomusulmana. El siglo XIX confirmó el deseo por descubrir las huellas de un pasado esplendoroso que la intervención barroca había silenciado bajo un tratamiento homogéneo del espacio. La recuperación de esas huellas supuso, hace exactamente dos siglos, el inicio de la última gran etapa en la transformación del edificio, la de la restauración. La fábrica es considerada como objeto a conservar y los esfuerzos desde ese momento se centraron en la recuperación de la arquitectura omeya latente. De este modo, la práctica de la restauración como disciplina se encontró absolutamente influenciada por la Arqueología como única fuente de conocimiento. Las intervenciones buscaban lo original como modo de recuperar espacial y formalmente aquel pasado, concentrándose en los lugares del edificio considerados como esenciales. La declaración del edificio como monumento nacional en 1882 propició que el Estado se hiciera cargo de su mantenimiento y conservación, sustituyendo en esa tarea a los Obispos y Cabildos del siglo XIX, que tuvieron un entendimiento muy avanzado para su época. La llegada del arquitecto Velázquez Bosco en las últimas décadas del siglo XIX supuso un cambio trascendental en la historia del edificio, puesto que recibió un edificio con importantes deterioros y consiguió poner las bases del edificio que hoy contemplamos. El empeño por la recuperación material y espacial devolvió a la Mezquita-Catedral buena parte de su imagen original, reproduciendo con exactitud los modelos hallados en las exploraciones arqueológicas. La llegada de Antonio Flórez tras la muerte de Velázquez Bosco supuso la traslación al edificio del debate disciplinar que se desarrolló en las dos primeras décadas del siglo XX. Flórez procuró un nuevo entendimiento de la intervención, considerando la conservación como actuación prioritaria. En 1926 el Estado reformó la manera en que se atendía al patrimonio con la creación de un sistema de zonas y unos arquitectos a cargo de ellas. La existencia de un nuevo marco legislativo apuntaló esa nueva visión conservativa, avalada por la Carta de Atenas de 1931. Este modelo restauración científica huía de la intervención en estilo y valoraba la necesidad de intervenir de la manera más escueta posible y con un lenguaje diferenciado, basándose en los datos que ofrecía la Arqueología. Por tanto, se continuaba con la valoración del edificio como documento histórico, buscando en este caso una imagen diferenciada de la intervención frente a la actitud mimética de Velázquez. Resulta destacable la manera en la que el historiador Manuel Gómez-Moreno influyó en varias generaciones de arquitectos, arqueólogos e historiadores, tanto en el entendimiento científico de la restauración como en la propia estructura administrativa. La labor desarrollada en el edificio por José Mª Rodríguez Cano primero y Félix Hernández a continuación estuvo influida de manera teórica por el método de Gómez-Moreno, aunque en muchos aspectos su labor no representó una gran diferencia con lo hecho por Velázquez Bosco. La búsqueda de lo original volvió a ser recurrente, pero la carga económica del mantenimiento de un edificio tan extenso conllevó la no realización de muchos de los proyectos más ambiciosos. Esta obsesiva búsqueda de la imagen original del edificio tuvo su última y anacrónica etapa con la intervención de la Dirección General de Arquitectura en los 70. Sin embargo, el agotamiento del modelo científico ya había propiciado un nuevo escenario a nivel europeo, que cristalizó en la Carta de Venecia de 1964 y en una nueva definición del objeto a preservar, más allá del valor como documento histórico. Esta nueva posición teórica tuvo su traslación al modelo restaurador español en el último cuarto de siglo XX, coincidiendo con la Transición. El arquitecto Dionisio Hernández Gil defendió una interpretación distinta a la de los arqueólogos y de los historiadores, que había prevalecido durante todo el siglo. En opinión de Hernández Gil, los problemas de intervención debían enfocarse fundamentalmente como problemas de Arquitectura, abandonando la idea de que solamente podían ser resueltos por especialistas. Esta convicción teórica fue defendida desde la nueva Administración y deparó la utilización de unos criterios de intervención particularizados, provenientes del análisis multifocal de cada situación y no sólo desde el valor de los edificios como documentos históricos. Y este cambio tuvo su traslación a la Mezquita-Catedral con la práctica de Gabriel Ruiz Cabrero y Gabriel Rebollo. En consecuencia con esa nueva perspectiva, aceptaron el edificio que recibieron, sustituyendo la búsqueda de aquella página original por la aceptación de cada una de las páginas de su historia y el respeto a las técnicas constructivas del pasado. La búsqueda de soluciones específicas desde el propio objeto arquitectónico significó la renovada atención a la potente estructura formal-constructiva como origen de toda reflexión. Considerar la Mezquita-Catedral en primer lugar como Arquitectura implicaba la atención a todo tipo de factores además de los históricos, como medio para preservar su autenticidad. Esta tesis pretende demostrar que la práctica de la restauración realizada en la Mezquita-Catedral a lo largo del siglo XX ha evolucionado desde la búsqueda de lo original hasta la búsqueda de lo auténtico, como reflejo de una visión basada en lo arqueológico frente a una renovada visión arquitectónica más completa, que incluye a la anterior. La consideración de la intervención en este edificio como otra página más de su historia y no como la última, significa la reedición de un mecanismo recurrente en la vida del edificio y un nuevo impulso en ese proceso de continua transformación. ABSTRACT The Mosque-Cathedral of Cordoba is a living building. A building transformed by men of different races, cultures and religions during more than 1.200 years old and that, nevertheless, it has continued to be in use all days in that long life. Thus, the building shows to the visitor as a complex architectural object, the result of continuous transformation. This transformation capacity of the buildings is inherent in their own architectural condition, it’s not an exclusive fact of the Mosque-Cathedral. However, in this building that transformation happens with a great intensity, without losing their authenticity. Traditionally, buildings have been adapted to the new requirements of times in a process that looked for laws or principles in order to guide the intervention. Thus, both the successive enlargements of the Mosque of Abd al-Rahman and Christian interventions must assume the preexistence as a working material. So, the architects of the caliph al-Hakam II spoke to their predecessors, complexing the receiving space, as well as Hernan Ruiz got a new organism as result the introduction of his luminous architecture into hispanic-muslim weft. The nineteenth century confirmed the desire to discover the traces of a glorious past that Baroque intervention had silenced, under a uniform space treatment. Exactly two centuries ago, the recovery of these traces meant the start of the last major phase in the transformation of the building: the restoration. The building was considered subject to conserve and since then, efforts focused on the recovery of latent Umayyad architecture. Thus, the practice of restoration as a discipline was absolutely influenced by Archaeology as the only source of knowledge. Interventions were seeking the original as the way to recover that past in a space and formal way, concentrating on essential sites of the building. The statement as a national monument in 1882 prompted the State take charge of its maintenance and preservation, replacing to the nineteenth century Bishops and Cabildos, which had a very advanced understanding for that time. The arrival of the architect Velazquez Bosco in the last decades of the nineteenth century involved a momentous change in the history of the building, since he received a building with significant damage and he achieved the foundations of the building that we can see today. Efforts to a material and space recover returned the Mosque-Cathedral to its original image, accurately reproducing the models found in archaeological explorations. The arrival of Antonio Florez after Velazquez’s death involved the translation of discipline debate, which was developed in the first two decades of the twentieth century. Florez tried a new understanding of the intervention, considering conservation as a priority action. In 1926, the State reformed the way in which heritage was attended, creating a zones system with a few architects in charge of them. The existence of a new legislative framework, underpinned this new conservative vision, supported by the Athens Charter of 1931. This scientific restoration model fleeing from intervention in style and it appreciated the need to intervene in the most concise way, with a distinct language based on the data offered by Archaeology. Therefore, it continued with the appraisement of the building as a historical document, seeking in this case a differentiated image of intervention, against Velazquez mimetic attitude. It is remarkable the way in which the historian Manuel Gomez-Moreno influenced several generations of architects, archaeologists and historians, both in the scientific understanding of the restoration and the administrative structure. The work of Jose Maria Rodriguez Cano first and then Felix Hernandez was theoretically influenced by the Gomez-Moreno’s method, although in many respects their work did not represent a great difference to Velazquez Bosco. The search of the original returned to recur, but the economic charge of maintaining such a large building led to the non-realization of many of the most ambitious projects. This obsessive search for the original image of the building had its last and anachronistic stage with the intervention of the Department of Architecture at 70’s. However, the exhaustion of the scientific model had already led to a new scenario at European level, which crystallized in the Venice Charter of 1964 and a new definition of the object to be preserved beyond the value as a historical document. This new theoretical position had its translation to Spanish restaurateur model in the last quarter of the twentieth century, coinciding with the Transition. The architect Dionisio Hernandez Gil defended a different interpretation from archaeologists and historians, that had prevailed throughout the century. According to Hernandez Gil, the problems of intervention should focus primarily as architectural issues, abandoning the idea that they could only be determined by specialist. This theoretical conviction was defended from the new administration and led to the use of particularized criteria, from a multifocal analysis of each situation. And this change had its translation to the Mosque with the practice of Gabriel Ruiz Cabrero and Gabriel Rebollo. Consistent with this new perspective, they accepted the receiving building, replacing the search on original page for acceptance of all historical pages and respecting the constructive techniques of the past. The search for specific solutions from the architectural object meant the renewed attention to the powerful formal-constructive structure as the origin of all thought. Consider the Mosque-Cathedral as Architecture, involved the attention to all kinds of factors in addition to the historical, as a means to preserve its authenticity. This thesis aims to demonstrate that the practice of restoration in the Mosque-Cathedral throughout the twentieth century has evolved from the search of the original to the search for the authentic, reflecting a vision based on the archaeological against a renewed more complete architectural vision, including the above. Consideration of intervention in this building as another page in its history and not the last one, means the reissue of an own mechanism and a new impetus in that continuous transformation process.