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    Fault detection and isolation in critical infrastructure systems  Open access

     Puig Cayuela, Vicenç; Escobet Canal, Teresa; Sarrate Estruch, Ramon; Quevedo Casin, Joseba-jokin
    International Conference on Critical Information Infrastructures Security
    Presentation's date: 2014-10-13
    Presentation of work at congresses

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    Critical infrastructure systems (CIS) are complex large-scale systems which in turn require highly sophisticated supervisory control systems to ensure that high performance can be achieved and maintained under adverse conditions. The global CIS Real-Time Control (RTC) need of operating in adverse conditions involves, with a high probability, sensor and actuator malfunctions (faults). This problem calls for the use of an on-line Fault Detection and Isolation (FDI) system able to detect such faults. This paper proposes a FDI mechanism that extends the classical Boolean fault signature matrix concept taking into account several fault signal properties to isolate faults in CIS. To exemplify the proposed FDI scheme in CIS, the Barcelona drinking water network is used as a case study.

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    Sensor data validation and reconstruction in water networks : a methodology and software implementation  Open access

     Garcia Valverde, Diego; Quevedo Casin, Joseba-jokin; Puig Cayuela, Vicenç; Cuguero Escofet, Miquel Àngel
    International Conference on Critical Information Infrastructure Security
    p. 1-12
    Presentation's date: 2014-10-13
    Presentation of work at congresses

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    In this paper, a data validation and reconstruction methodology that can be applied to the sensors used for real-time monitoring in water networks is presented. On the one hand, a validation approach based on quality levels is described to detect potential invalid and missing data. On the other hand, the reconstruction strategy is based on a set of temporal and spatial models used to estimate missing/invalid data with the model estimation providing the best fit. A software tool implementing the proposed data validation and reconstruction methodology is also presented. Finally, results obtained applying the proposed methodology on raw data of flow meters gathered from a real water network are also included to illustrate the performance of the proposed approach.

    Postprint (author’s final draft)

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    A methodology for incipient fault detection  Open access

     Escobet Canal, Teresa; Puig Cayuela, Vicenç; Quevedo Casin, Joseba-jokin; Garcia Valverde, Diego
    IEEE International Conference on Control Applications
    p. 104-109
    Presentation's date: 2014-10-08
    Presentation of work at congresses

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    This paper proposes a fault detection methodology for incipient faults that combines different residual generation methods (observers and l-step ahead predictors) with different convergence velocity to the real output trying to benefit from the advantages offered by each one. The integration is based on generating a timed automaton, which combines the information extracted from each method in order to provide the best fault detection performance regarding incipient faults. The proposed methodology has as a main objective to detect as early as possible anomalies or incipient faults in system components. Nowadays, for many systems, early warnings contribute to increase system reliability, prevent major component failures and planning the necessary repair actions for several weeks (predictive maintenance). The application of this methodology will be illustrated in a case study based on a part of the Barcelona water network.

    Postprint (author’s final draft)

  • A decision support system for on-line leakage localization

     Meseguer Amela, Jordi; Mirats Tur, Josep Maria; Cembrano Gennari, M.gabriela Elena; Puig Cayuela, Vicenç; Quevedo Casin, Joseba-jokin; Pérez Magrané, Ramon; Sanz Estapé, Gerard; Ibarra Gómez, David
    Environmental modelling & software
    Vol. 60, p. 331-345
    DOI: 10.1016/j.envsoft.2014.06.025
    Date of publication: 2014-10-01
    Journal article

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    This paper describes a model-driven decision-support system (software tool) implementing a model-based methodology for on-line leakage detection and localization which is useful for a large class of water distribution networks. Since these methods present a certain degree of complexity which limits their use to experts, the proposed software tool focuses on the integration of a method emphasizing its use by water network managers as a decision support system. The proposed software tool integrates a model-based leakage localization methodology based on the use of on-line telemetry information, as well as a water network calibrated hydraulic model. The application of the resulting decision support software tool in a district metered area (DMA) of the Barcelona distribution network is provided and discussed. The obtained results show that the leakage detection and localization may be performed efficiently reducing the required time.

  • Fault diagnosis and fault tolerant control in critical infrastructure systems

     Puig Cayuela, Vicenç; Escobet Canal, Teresa; Sarrate Estruch, Ramon; Quevedo Casin, Joseba-jokin
    DOI: 10.1007/978-3-662-44160-2_10
    Date of publication: 2014-09-14
    Book chapter

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    Critical Infrastructure Systems (CIS) are complex large-scale systems which in turn require highly sophisticated supervisory-control systems to ensure that high performance can be achieved and maintained under adverse conditions. The global CIS Real-Time Control (RTC) need of operating in adverse conditions involves, with a high probability, sensor and actuator malfunctions (faults). This problem calls for the use of an on-line Fault Detection and Isolation (FDI) system able to detect such faults and correct them (if possible) by activating Fault Tolerant Control (FTC) mechanisms, as the use of soft sensors or using the embedded tolerance of the controller, that prevent the global RTC system from stopping every time a fault appears. To exemplify the FDI and FTC methodologies in CIS, the Barcelona drinking water network is used as the case study.

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    Automatic validation of flowmeter data in transport water networks: Application to the ATLLc water network  Open access

     Garcia Valverde, Diego; Quevedo Casin, Joseba-jokin; Puig Cayuela, Vicenç; Saludes Closa, Jordi; Espín, Santiago; Roquet, Jaume; Valero, Fernando
    The International Conference on Intelligent Data Engineering and Automated Learning
    p. 118-125
    DOI: 10.1007/978-3-319-10840-7_15
    Presentation's date: 2014-09-12
    Presentation of work at congresses

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    In this paper, a methodology for data validation and reconstruction of flow meter sensor data in water networks is presented. The raw data validation is inspired on the Spanish norm (AENOR-UNE norm 500540). The methodology consists in assigning a quality level to data. These quality levels are assigned according to the number of tests that data have passed. The methodology takes into account not only spatial models but also temporal models relating the differ-ent sensors. The methodology is applied to real-data acquired from the ATLLc Water Network. The results demonstrate the performance of the proposed meth-odology in detecting errors in measurements and in reconstructing them.

    In this paper, a methodology for data validation and reconstruction of flow meter sensor data in water networks is presented. The raw data validation is inspired on the Spanish norm (AENOR-UNE norm 500540). The methodology consists in assigning a quality level to data. These quality levels are assigned according to the number of tests that data have passed. The methodology takes into account not only spatial models but also temporal models relating the different sensors. The methodology is applied to real-data acquired from the ATLLc Water Network. The results demonstrate the performance of the proposed methodology in detecting errors in measurements and in reconstructing them.

    Postprint (author’s final draft)

  • Automatic validation of flowmeter data in transport water networks: application to the ATLLc water network

     Garcia Valverde, Diego; Quevedo Casin, Joseba-jokin; Puig Cayuela, Vicenç; Saludes Closa, Jordi; Espín, Santiago; Roquet, Jaume; Valero, Fernando
    DOI: 10.1007/978-3-319-10840-7
    Date of publication: 2014-09-10
    Book chapter

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    In this paper, a methodology for data validation and reconstruction of flow meter sensor data in water networks is presented. The raw data validation is inspired on the Spanish norm (AENOR-UNE norm 500540). The methodology consists in assigning a quality level to data. These quality levels are assigned according to the number of tests that data have passed. The methodology takes into account not only spatial models but also temporal models relating the different sensors. The methodology is applied to real-data acquired from the ATLLc Water Network. The results demonstrate the performance of the proposed methodology in detecting errors in measurements and in reconstructing them

  • Chlorine decay model calibration and comparison: application to a real water network

     Nejjari Akhi-elarab, Fatiha; Puig Cayuela, Vicenç; Pérez Magrané, Ramon; Quevedo Casin, Joseba-jokin; Cuguero Escofet, Miquel Àngel; Sanz Estapé, Gerard; Mirats Tur, Josep Maria
    Computing and Control for the Water Industry
    p. 1221-1230
    DOI: 10.1016/j.proeng.2014.02.135
    Presentation's date: 2014-09-03
    Presentation of work at congresses

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    This work presents a methodology to efficiently calibrate chlorine decay models. The calibration consists in estimating the unknown parameters by comparing the measured and simulated chlorine concentrations at the monitored nodes within the distribution system in a least square sense using a normalized quadratic cost function. Since this function involves a non- explicit expression of the model, a genetic algorithm (GA) is applied to optimize the model parameters by minimizing the difference between the model-predicted values and the field-measured ones. The method is applied to a part of the Barcelona drinking water network.

  • Leak localization in water networks: a model-based methodology using pressure sensors applied to a real network in Barcelona

     Pérez Magrané, Ramon; Sanz Estapé, Gerard; Puig Cayuela, Vicenç; Quevedo Casin, Joseba-jokin; Cuguero Escofet, Miquel Àngel; Nejjari Akhi-elarab, Fatiha; Meseguer Amela, Jordi; Cembrano Gennari, M.gabriela Elena; Mirats Tur, Josep Maria; Sarrate Estruch, Ramon
    IEEE control systems magazine
    Vol. 34, num. 4, p. 24-36
    DOI: 10.1109/MCS.2014.2320336
    Date of publication: 2014-08-01
    Journal article

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    The efficient distribution of water is a subject of major concern for water utilities and authorities [1]. While some leaks in water distribution networks (WDNs) are unavoidable, one of the main challenges in improving the efficiency of drinking water networks is to minimize leaks. Leaks can cause significant economic losses in fluid transportation and extra costs for the final consumer due to the waste of energy and chemicals in water treatment plants. Leaks may also damage infrastructure and cause third-party damage and health risks. In many WDNs, losses due to leakage are estimated to account up to 30% of the total amount of extracted water [2]; a very important issue in a world struggling to satisfy water demands of a growing population.

  • Inconsistent sensor data detection/correction: application to environmental systems

     Cuguero Escofet, Miquel Àngel; Quevedo Casin, Joseba-jokin; Puig Cayuela, Vicenç; Garcia Valverde, Diego
    International Joint Conference on Neural Networks
    p. 84-90
    DOI: 10.1109/IJCNN.2014.6889741
    Presentation's date: 2014-07-07
    Presentation of work at congresses

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    In this paper, a data detection/correction approach is proposed for a real environmental monitoring system, in order to provide a reliable dataset when sensor faults occur. This is the case of communication faults that may prevent the acquisition of a complete dataset, which is of paramount importance in order to successfully apply further system tasks such as fault diagnosis. Sensor detection/correction method presented here is based on the combined used of spatial and time series models. Spatial models take advantage of the physical relation between different variables emplaced in the system (temperature sensors here) while time series models take advantage of the temporal redundancy of the measured variables, by means of Holt-Winters models here. The proposed approach is successfully applied to the rock collapse forecasting system in the Torrioni di Rialba located in Lombardy (Italy).

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    ¿Como dar sentido al no sentido¿ en el proyecto europeo ISENSE y su aplicación al diagnóstico cognitivo de fallos de redes de agua  Open access

     Quevedo Casin, Joseba-jokin
    Simposio CEA de Control Inteligente
    Presentation's date: 2014-06-26
    Presentation of work at congresses

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    La misión del proyecto europeo ¿ISense: make sense to non sense¿ recientemente concluido ha sido el desarrollo de métodos inteligentes de procesamiento de datos para el análisis y la interpretación de los datos de tal manera que los fallos en complejos sistemas se detecten, se aíslen y se identifiquen tan pronto como sea posible, y permitan tomar futuras decisiones o acciones correctoras que aseguren la integridad, estabilidad y funcionamiento seguro de los sistemas en fallo.

    La misión del proyecto europeo “ISense: make sense to non sense” recientemente concluido ha sido el desarrollo de métodos inteligentes de procesamiento de datos para el análisis y la interpretación de los datos de tal manera que los fallos en complejos sistemas se detecten, se aíslen y se identifiquen tan pronto como sea posible, y permitan tomar futuras decisiones o acciones correctoras que aseguren la integridad, estabilidad y funcionamiento seguro de los sistemas en fallo.

  • Short-term demand forecasting for real-time operational control of the Barcelona water transport network

     Quevedo Casin, Joseba-jokin; Saludes Closa, Jordi; Puig Cayuela, Vicenç; Blanch, J.
    Mediterranean Conference on Control & Automation
    p. 990-995
    DOI: 978-1-4799-5899-3/14/$31.00 ©2014 IEEE
    Presentation's date: 2014-06-18
    Presentation of work at congresses

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    This paper focuses on the forecast of the hourly water demand data of distinct pressure floors of the Barcelona water transport network. Several methods to forecast the hourly water demand are studied and compared with the aim of being applied for the operational control of the Barcelona water transport network. The short-term forecast of the intraday series has a main feature: the double periodicity (daily and hourly). To address this issue several extensions of the classical time-series forecasting methods are proposed: seasonal ARIMA, structural models and the exponential methods without external information. The paper focuses on the daily and hourly forecasts. In the hourly forecast, the exponential smoothing method is the most accurate. On the hand, the seasonal ARIMA and the exponential smoothing are similar in the daily time scale.

  • Flowmeter data validation and reconstruction methodology to provide the annual efficiency of a water transport network: the ATLL case study in Catalonia

     Quevedo Casin, Joseba-jokin; Pascual Pañach, Josep; Puig Cayuela, Vicenç; Saludes Closa, Jordi; Sarrate Estruch, Ramon; Escobet Canal, Antoni; Espin, Santiago; Roquet, Jaume
    Water science and technology: water supply
    Vol. 14, num. 2, p. 337-346
    DOI: 10.2166/ws.2013.203
    Date of publication: 2014-03
    Journal article

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    The object of this paper is to provide a flowmeter data validation/reconstruction methodology that determines the annual economic efficiency of a water transport network. In this paper, the case of Aigües Ter Llobregat (ATLL) company, which manages 80% of the overall water transport network in Catalonia (Spain), will be used for illustrating purposes. Economic network efficiency is based on daily data set collected by the company using about 200 flowmeters of the network. Data collected using these sensors are used by remote control and information storage systems and they are stored in a relational database. All information provided by ATLL is analysed to detect inconsistent data using an automatic data validation method deployed in parallel with the network efficiency evaluation. As a result of the validation process, corrections of flow measurements and of billed water volume are introduced. Results from ATLL water transport network corresponding to year 2010 will be used to illustrate the approach proposed in this paper.

  • Combining learning in model space fault diagnosis with data validation/reconstruction: Application to the Barcelona water network

     Quevedo Casin, Joseba-jokin; Chen, Heran; Cuguero Escofet, Miquel Àngel; Tino, Peter; Puig Cayuela, Vicenç; Garcia Valverde, Diego; Sarrate Estruch, Ramon; Yao, Xin
    Engineering applications of artificial intelligence
    Vol. 30, p. 18-29
    DOI: 10.1016/j.engappai.2014.01.008
    Date of publication: 2014-02-14
    Journal article

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    In this paper, an integrated data validation/reconstruction and fault diagnosis approach is proposed for critical infrastructure systems. The proposed methodology is implemented in a two-stage approach. In the first stage, sensor communication faults are detected and corrected, in order to facilitate a reliable dataset to perform system fault diagnosis in the second stage. On the one hand, sensor validation and reconstruction are based on the combined use of spatial and time series models. Spatial models take advantage of the (mass-balance) relation between different variables in the system, whilst time series models take advantage of the temporal redundancy of the measured variables by means of Holt-Winters time series models. On the other hand, fault diagnosis is based on the learning-in-model-space approach that is implemented by fitting a series of models using a series of signal segments selected with a sliding window. In this way, each signal segment can be represented by one model. To rigorously measure the `distance¿ between models, the distance in the model space is defined. The deterministic reservoir computing approach is used to approximate a model with the input¿output dynamics that exploits spatial¿temporal correlations existing in the original data. Finally, the proposed approach is successfully applied to the Barcelona water network.

  • Proyecto EFFINET: Integración de la monitorización y control eficiente en tiempo real de redes de agua potable

     Puig Cayuela, Vicenç; Quevedo Casin, Joseba-jokin; Mirats Tur, Josep Maria; Meseguer Amela, Jordi; Termes Rife, Montserrat; Cembrano Gennari, M.gabriela Elena; López Martínez, Silvia; Charalambous, Solomos; Ariño Tarrago, Ramon
    Automática e instrumentación
    num. 459, p. 44-46
    Date of publication: 2014-02
    Journal article

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    El proyecto europeu Effinet (2012-2015) tiene como objetivo desarrollar una plataforma informática que permita la integración de la monitorización y control para una gestión eficiente en tiempo real de redes de agua potable. El proyecto pretende asimismo desarrollar nuevas metodologías de monitorización y control que aprovechen la información proporcionada por los sistemas de telemetría y las capacidades de control operacional que ofrecen los sistemas de telecontrol. La validación de las metodologías y herramientas desarrolladas se está llevando a cabo en las redes de agua potable de Barcelona y Limasol en Chipre.

  • Automatic control of pollutant on a shallow river using surface water systems: application to the Ebro River

     Puig Cayuela, Vicenç; Romera Formiguera, Juli; Quevedo Casin, Joseba-jokin; Sarrate Estruch, Ramon; Morales Hernández, Mario; González Sanchis, M.; Garcia Navarro, María del Pilar
    Water science and technology
    Vol. 69, num. 11, p. 2210-2220
    DOI: 10.2166/wst.2014.140
    Date of publication: 2014-01-01
    Journal article

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    In this paper, the problem of automatic control of pollutant on a shallow river using surface water systems is addressed using a benchmark test case based in the Ebro River. The Ebro River presents flooding episodes in the city of Zaragoza in Spring when snow melts in the Pyrenees. To avoid flooding and high pollutant levels in living areas, some lands outside the city are prepared to be flooded. Going one step further, this paper is focused on the pollutant level control at a certain point downstream of the river under flooding episodes, and several control strategies for that purpose are presented and tested.

  • Robot 2013: 1a Conferencia Ibérica sobre Robótica

     Quevedo Casin, Joseba-jokin
    Automática e instrumentación
    num. 457, p. 16
    Date of publication: 2013-12-01
    Journal article

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  • Multiple fault detection and diagnosis in a gas turbine using nonlinear principal component analysis and structured residuals

     Rincon-Charris, Amilcar; Quevedo Casin, Joseba-jokin
    ASME International Mechanical Engineering Congress & Exposition
    p. 1-8
    Presentation's date: 2013-11-20
    Presentation of work at congresses

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    Multiple fault detection and diagnosis is a challenging problem because the number of candidates grows exponentially in the number of faults. In add ition, multiple faults in dynamic systems may be hard to detect, because they can mask or compensate each other¿s effects. This paper presents the study of the detection and diagnosis of multiple faults in a SR-30 Gas Turbine using nonlinear principal component analys is as the detection method and structured residuals as th e diagnosis method. The study includes developing a mathematical model, software simulation with Matlab Simulink and implementation of algorithms for detection and diagnosis of multiple faults in the system using nonlinear pri ncipal component analysis and structured residuals. A real SR-30 gas turbine was used for our studies. The equipment is at the moment installed in the Inter American University of Puerto Rico, Ba yamon Campus, and Department of Mechanical Engineering

    Multiple fault detection and diagnosis is a challenging problem because the number of candidates grows exponentially in the number of faults. In add ition, multiple faults in dynamic systems may be hard to detect, because they can mask or compensate each other’s effects. This paper presents the study of the detection and diagnosis of multiple faults in a SR-30 Gas Turbine using nonlinear principal component analys is as the detection method and structured residuals as th e diagnosis method. The study includes developing a mathematical model, software simulation with Matlab Simulink and implementation of algorithms for detection and diagnosis of multiple faults in the system using nonlinear pri ncipal component analysis and structured residuals. A real SR-30 gas turbine was used for our studies. The equipment is at the moment installed in the Inter American University of Puerto Rico, Ba yamon Campus, and Department of Mechanical Engineering

  • Fuell cells advanced control and applications

     Quevedo Casin, Joseba-jokin
    Date: 2013-10-28
    Report

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  • Sensor placement for leak detection and location in water distribution networks

     Sarrate Estruch, Ramon; Blesa Izquierdo, Joaquin; Nejjari Akhi-elarab, Fatiha; Quevedo Casin, Joseba-jokin
    IWA Specialist Conference on Efficient Use and Management of Water "Water Efficiency Strategies for Difficult Times"
    p. 1-10
    Presentation's date: 2013-10-23
    Presentation of work at congresses

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  • XXXIV Jornadas de Automática. Un importante punto de encuentro para profesionales, empresas e investigadores

     Quevedo Casin, Joseba-jokin
    Automática e instrumentación
    num. 455, p. 26-29
    Date of publication: 2013-10-01
    Journal article

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  • Automatic control of pollutant on a shallow river using surface water systems: application to the Ebro river

     Puig Cayuela, Vicenç; Romera Formiguera, Juli; Quevedo Casin, Joseba-jokin; Morales Hernández, Mario; González Sanchis, M.; Garcia Navarro, María del Pilar
    IWA conference  on Instrumentation, Control and Automation
    p. 1-4
    Presentation's date: 2013-09-18
    Presentation of work at congresses

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    Control de actitud de un cohete de sondeo atmosférico  Open access

     Manent Bistué, Pau; Quevedo Casin, Joseba-jokin; Morcego Seix, Bernardo
    Jornadas de Automática
    p. 420-428
    Presentation's date: 2013-09-05
    Presentation of work at congresses

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    Un cohete necesita de un sistema de control de actitud para superar posibles perturbaciones. Sobre un cohete pueden aparecer fuerzas que lo desestabilicen de una trayectoria idealmente vertical: viento, desalineamiento de las fuerzas de empuje, asimetría de la carga, etc. Éstas y muchas más son las perturbaciones de un cohete, y para evitar que éste se desestabilice y caiga o explote se requiere de un sistema que controle su actitud. En el presente estudio se opta por un sistema de control activo basado en modificar la dirección del vector empuje simbolizado con TVC (Thrust Vector Control). El estudio está dividido en dos partes: una primera parte en que se modela matemáticamente el cohete y el sistema de control de empuje y una segunda parte en que se estudia el comportamiento de distinta s estructuras de control (PID clásico, control predictivo MPC (Model of Predictive Control) y control auto-sintonizado STR (Self-Tuning Regulator)). Se finaliza con la elección de un sistema de control y sus parámetros. Finalmente, la última sección se dedica al estudio del control discreto y en que se tratan temas relacionados con el tiempo de muestreo, la sensibilidad y la precisión de los sensores, entre otros. En este estudio se hace especial hincapié en comparar la respuesta de distintos modelos de control de una planta inestable.

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    Chlorine decay model calibration and comparison: application to a real water network  Open access

     Nejjari Akhi-elarab, Fatiha; Puig Cayuela, Vicenç; Pérez Magrané, Ramon; Quevedo Casin, Joseba-jokin; Cuguero Escofet, Miquel Àngel; Sanz Estapé, Gerard; Mirats Tur, Josep Maria
    Computing and Control for the Water Industry
    p. 1221-1230
    DOI: 10.1016/j.proeng.2014.02.135
    Presentation's date: 2013-09-03
    Presentation of work at congresses

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    This work presents a methodology to efficiently calibrate chlorine decay models. The calibration consists in estimating the unknown parameters by comparing the measured and simulated chlorine concentrations at the monitored nodes within the distribution system in a least square sense using a normalized quadratic cost function. Since this function involves a non- explicit expression of the model, a genetic algorithm (GA) is applied to optimize the model parameters by minimizing the difference between the model-predicted values and the field-measured ones. The method is applied to a part of the Barcelona drinking water network.

  • Aplicación de la técnica de la QFT para el control activo de las perturbaciones mecánicas en un interferómetro óptico

     Comasolivas Font, Ramon; Escobet Canal, Teresa; Quevedo Casin, Joseba-jokin
    Segunda conferencia iberoamericana en sistemas, cibernética e informática
    p. 1-6
    Presentation's date: 2013-07-31
    Presentation of work at congresses

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  • Disseny automàtic de controladors robustos basat en QFT: aplicació a l'atenuació de vibracions en interferòmetres

     Comasolivas Font, Ramon; Quevedo Casin, Joseba-jokin; Puig Cayuela, Vicenç; Escobet Canal, Teresa
    Jornades de Recerca en Automàtica, Visió i Robòtica
    p. 91-97
    Presentation's date: 2013-07-04
    Presentation of work at congresses

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  • Temporal/spatial model-based fault diagnosis vs. hidden Markov models change detection method: application to the Barcelona water network

     Quevedo Casin, Joseba-jokin; Alippi, Cesare; Cuguero Escofet, Miquel Àngel; Ntalampiras, Stavros; Puig Cayuela, Vicenç; Roveri, Manuel; Garcia Valverde, Diego
    Mediterranean Conference on Control & Automation
    p. 394-400
    Presentation's date: 2013-06-26
    Presentation of work at congresses

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  • Application of predictive control strategies to the management of complex networks in the urban water cycle

     Ocampo Martinez, Carlos A.; Puig Cayuela, Vicenç; Cembrano Gennari, M.gabriela Elena; Quevedo Casin, Joseba-jokin
    IEEE control systems magazine
    Vol. 33, num. 1, p. 15-41
    DOI: 10.1109/MCS.2012.2225919
    Date of publication: 2013
    Journal article

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  • Memorias de la Automática

     Quevedo Casin, Joseba-jokin
    Revista iberoamericana de automática e informática industrial
    num. 10, p. 116-118
    DOI: 10.1016/j.riai.2012.11.011
    Date of publication: 2013
    Journal article

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  • Flooding management using hybrid model predictive control: Application to the Spanish Ebro River

     Romera Formiguera, Juli; Ocampo Martinez, Carlos A.; Puig Cayuela, Vicenç; Quevedo Casin, Joseba-jokin
    Journal of hydroinformatics
    Vol. 15, num. 2, p. 366-380
    DOI: 10.2166/hydro.2012.164
    Date of publication: 2013
    Journal article

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    In this paper, the problem of flooding management using hybrid model predictive control is presented and applied to the Ebro River in Spain. The Ebro River presents flooding episodes in the city of Zaragoza during spring when snow melts in the Pyrenees. To avoid flooding in populated areas, some land outside the city is prepared for flooding. This paper presents a control approach to determine and fix the level of flooding in pre-established zones by controlling side gates that determine the water input to the land to be flooded. Finally, several scenarios are used to validate the performance of the proposed approach

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    Abnormal quality detection and isolation in water distribution networks using simulation models  Open access

     Nejjari Akhi-elarab, Fatiha; Pérez Magrané, Ramon; Puig Cayuela, Vicenç; Quevedo Casin, Joseba-jokin; Sarrate Estruch, Ramon; Cuguero Escofet, Miquel Àngel; Sanz Estapé, Gerard; Mirats Tur, Josep Maria
    Drinking water engineering and science
    num. 5, p. 67-72
    DOI: 10.5194/dwesd-5-435-2012
    Date of publication: 2012-11-16
    Journal article

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    This paper proposes a model based detection and localisation method to deal with abnormal quality levels based on the chlorine measurements and chlorine sensitivity analysis in a water distribution network. A fault isolation algorithm which correlates on line the residuals (generated by comparing the available chlorine measurements with their estimations using a model) with the fault sensitivity matrix is used. The proposed methodology has been applied to a District Metered Area (DMA) in the Barcelona network.

  • Data validation and reconstruction of flowmeters to provide the annual efficiency of ATLL transport water network in Catalonia

     Quevedo Casin, Joseba-jokin; Pascual Pañach, Josep; Puig Cayuela, Vicenç; Saludes Closa, Jordi; Espin, S; Roquet, J
    New Developments in IT & Water
    p. 1-8
    Presentation's date: 2012-11-05
    Presentation of work at congresses

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  • Sensores de nivel: tecnologías y funcionalidades

     Quevedo Casin, Joseba-jokin; Masip Alvarez, Albert
    Automática e instrumentación
    num. 445, p. 1-11
    Date of publication: 2012-11
    Journal article

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    Tan importante es hoy en día la tecnología que utilizan los sensores para medir correctamente la variable de interés como que dispongan de capacidad de auto-calibrado, de filtrado, de diagnóstico de fallos, de tolerancia ante fallos y de transmitir al sistema de monitorización los datos con o sin cable y con el mínimo de consumo energético. Por esta razón, los fabricantes de sensores de proceso están poniendo el énfasis en mejorar sus prestaciones funcionales, incrementando así el valor añadido.

  • Combining health monitoring and control

     Escobet Canal, Teresa; Quevedo Casin, Joseba-jokin; Puig Cayuela, Vicenç; Nejjari Akhi-elarab, Fatiha
    Date of publication: 2012-09
    Book chapter

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  • Fault detection and isolation of a real PEM fuel cell using interval LPV observers

     de Lira Ramírez, Salvador; Puig Cayuela, Vicenç; Quevedo Casin, Joseba-jokin
    IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
    p. 90-95
    Presentation's date: 2012-08-29
    Presentation of work at congresses

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    The purpose of this paper is to design a Fault Detection and Isolation (FDI) system based on interval LPV observers with application to a real fuel cell. The interval LPV observer is used to generate an adaptive threshold to enhance the robustness of the fault detection test. Real field data and system identification techniques are used to identify the nominal model as well as its uncertainty. Since fuel cells are highly non-linear systems when operating in their whole range of operation, a LPV model is used. Finally, fault isolation is based on an algorithm that uses the residual fault sensitivity. Several fault scenarios are used to show the performance of the proposed approach.

  • Access to the full text
    Methodology to detect and isolate water losses in water hydraulic networks: application to Barcelona water network  Open access

     Quevedo Casin, Joseba-jokin; Pérez Magrané, Ramon; Pascual Pañach, Josep; Puig Cayuela, Vicenç; Cembrano Gennari, M.gabriela Elena; Peralta, Antoni
    IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
    p. 922-927
    Presentation's date: 2012-08-29
    Presentation of work at congresses

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    This paper presents a methodology to detect real water losses in urban water networks. The proposed method is based on the combined use of the DMA economical water balance confidence intervals for a period of time longer than a month (a trimester, semester or year) with appropriated night flow ratio intervals. This method allows distinguishing between real and apparent water losses in a given DMA. The use of uncertainty models allows taking into account measurement uncertainty of the flow data sensors. The use of different periods of time allows the stabilization of the results. This methodology is illustrated in a DMA of the Barcelona water distribution network using real data.

    Postprint (author’s final draft)

  • A fault/anomaly system prognosis using a data-driven approach considering uncertainty

     Escobet Canal, Teresa; Quevedo Casin, Joseba-jokin; Puig Cayuela, Vicenç
    IEEE World Congress on Computational Intelligence
    p. 2325-2331
    Presentation's date: 2012-06-12
    Presentation of work at congresses

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  • Model predictive control of combined irrigation and water supply systems: application to the Guadiana river

     Puig Cayuela, Vicenç; Ocampo Martinez, Carlos A.; Romera Formiguera, Juli; Quevedo Casin, Joseba-jokin; Rodriguez, Pablo; de Campos, Sergi; Negerborn, Rudy
    IEEE International Conference on Networking, Sensing and Control
    p. 85-90
    Presentation's date: 2012-04-12
    Presentation of work at congresses

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    In this paper, a methodology for the optimal management of a combined irrigation and water supply system based on model predictive control (MPC) is proposed. A controloriented modelling methodology for this type of systems is presented as well. MPC is used to generate flow control strategies from the sources to the consumer and irrigation areas to meet future demands with appropriate flows, optimizing operational goals such as network safety volumes in dams and flow control stability in actuators (valves, gates and pumps). The case study of Guadiana river is used to exemplify and verify the proposed optimal management methodology. Results have shown the effectiveness of the proposed modelling and control methodologies.

  • Automatic design of robust PID controllers based on QFT specifications

     Comasolivas Font, Ramon; Escobet Canal, Teresa; Quevedo Casin, Joseba-jokin
    IFAC Conference on Advances in PID Control
    p. 1-6
    Presentation's date: 2012-03-30
    Presentation of work at congresses

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    This paper proposes an optimization algorithm for the automatic design of robust PID controllers using Quantitative Feedback Theory (QFT) specifications. The proposed algorithm is based on a criterion to minimize the energy of the control effort. To illustrate the methodology, the pitch angle of a laboratory helicopter is used as a model application with structured uncertainty. The results show that the design of robust controller can be formulated using an objective function and a number of restrictions that are developed as specifications.

  • Localización de fugas en redes de distribución de agua potable

     Pérez Magrané, Ramon; Puig Cayuela, Vicenç; Quevedo Casin, Joseba-jokin; Nejjari Akhi-elarab, Fatiha; Pascual Pañach, Josep; Sanz Estapé, Gerard; Cuguero Escofet, Miquel Àngel; Cembrano Gennari, M.gabriela Elena; Landeros, Edson; Peralta, Antoni; Mirats Tur, Josep Maria; Meseguer Amela, Jordi
    Automática e instrumentación
    num. 437, p. 36-38
    Date of publication: 2012-02
    Journal article

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  • Mejorar la eficiencia utilizando técnicas de control predictivo

     Puig Cayuela, Vicenç; Ocampo Martinez, Carlos A.; Cembrano Gennari, M.gabriela Elena; Quevedo Casin, Joseba-jokin; Creus, R.; Minoves, M.
    Automática e instrumentación
    num. 437, p. 39-41
    Date of publication: 2012-02
    Journal article

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  • Hydroptim: una herramienta para el control predictivo basado en modelos

     Romera Formiguera, Juli; Rodriguez, P.; Puig Cayuela, Vicenç; Quevedo Casin, Joseba-jokin; de Campos, S.
    Automática e instrumentación
    num. 437, p. 42-47
    Date of publication: 2012-02
    Journal article

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  • 20th Mediterranean Conference on Control and Automation

     Pérez Magrané, Ramon; Nejjari Akhi-elarab, Fatiha; Sarrate Estruch, Ramon; Morcego Seix, Bernardo; Quevedo Casin, Joseba-jokin
    Competitive project

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  • SYSTEM HEALTH MANAGEMENT AND RELIABLE CONTROL OF COMPLEX SYSTEMS

     Puig Cayuela, Vicenç; Escobet Canal, Teresa; Saludes Closa, Jordi; Nejjari Akhi-elarab, Fatiha; Morcego Seix, Bernardo; De Las Heras Jimenez, Salvador Augusto; Escobet Canal, Antoni; Comasolivas Font, Ramon; Sarrate Estruch, Ramon; Pérez Magrané, Ramon; Tornil Sin, Sebastian; Masip Alvarez, Albert; Rotondo, Damiano; Vento Maldonado, Jorge Isaac; Blesa Izquierdo, Joaquin; Cuguero Escofet, Miquel Àngel; Romera Formiguera, Juli; Pascual Pañach, Josep; Sanz Estapé, Gerard; Cuguero Escofet, Josep; Ocampo Martinez, Carlos A.; Quevedo Casin, Joseba-jokin
    Competitive project

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  • Model Based Fault Detection and Isolation for a PEM Fuel CELL SYSTEM

     de Lira Ramírez, Salvador
    Institute of Industrial and Control Engineering (IOC), Universitat Politècnica de Catalunya
    Theses

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  • Agile accelerated aging and degradation characterization of a V/F controlled induction motor in a conveyor belt process

     Garcia España, Claudia Maria; Quevedo Casin, Joseba-jokin
    International Symposium on Information, Communication and Automation Technologies
    p. 138-146
    Presentation's date: 2011-10-28
    Presentation of work at congresses

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    Although induction machines are reliable, they are subjected to some failures; the understanding degradation behaviour of Induction Motors (IM) is crucial for the adoption and application of health Management methodologies on systems and industrial processes. Conveyor belt systems are subjects to speed changes along the working route and a big amount of startstops cycles, this operating service causes on the IM a fatigue and deterioration for thermal and mechanical stresses. Consequently this paper presents a conveyor belt moved through and IM test bed, the software and hardware (National Instruments) development procedure is depicted, where the system is monitored performing a hybrid automaton, combining the continuous and discrete acquired system data, the main features are extracted and accelerated aging test results are presented. The degradation IM behaviour under thermal and thermomechanical stress is presented and the skin effect is observed.

    Postprint (author’s final draft)

  • Abnormal Quality Detection and Isolation in Water Distribution Networks using Simulation Models

     Nejjari Akhi-elarab, Fatiha; Pérez Magrané, Ramon; Puig Cayuela, Vicenç; Quevedo Casin, Joseba-jokin; Sarrate Estruch, Ramon; Cuguero Escofet, Miquel Àngel; Sanz Estapé, Gerard; Mirats Tur, Josep Maria
    Computing and Control for the Water Industry
    p. 461-466
    DOI: 10.5194/dwesd-5-435-2012
    Presentation's date: 2011-09-06
    Presentation of work at congresses

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    This paper proposes a model based detection and localisation method to deal with abnormal quality levels based on the chlorine measurements and chlorine sensitivity analysis in a water distribution network. A fault isolation algorithm which correlates on line the residuals (generated by comparing the available chlorine measurements with their estimations using a model) with the fault sensitivity matrix is used. The proposed methodology has been applied to a District Metered Area (DMA) in the Barcelona network.

    This paper proposes a model based fault localisation method to deal with abnormal quality levels based on the chlorine measurements and chlorine sensitivity analysis in a water distribution network. A fault isolation algorithm which correlates on line the residuals, generated by comparing the available chlorine measurements with their estimation using a model, with the fault sensitivity matrix is used. The proposed methodology has been applied to a District Metered Area (DMA) in the Barcelona network.

  • Study of the isolability of leaks in a network depending on calibration of demands

     Pérez Magrané, Ramon; Nejjari Akhi-elarab, Fatiha; Puig Cayuela, Vicenç; Quevedo Casin, Joseba-jokin; Sanz Estapé, Gerard; Cuguero Escofet, Miquel Àngel; Peralta, Antoni
    Computing and Control for the Water Industry
    p. 455-460
    Presentation's date: 2011-09-06
    Presentation of work at congresses

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    Using the simulation models a methodology was developed for leakage detection and localisation in a water distribution network [4]. Such methodology is based on fault detection and isolation techniques. Sensitivity matrix of pressures to leaks [8] is generated using simulation models [1]. Such models are available in water companies. The methodology showed promising results but two main issues appeared. Calibration in models and precision in sensors was required. Investment in sensors could be afforded [6] as long as models were well calibrated enough. The main uncertainty in models lies on demands. This paper presents a study of the effect of an improvement in demand calibration on isolability of leaks. The aim is to quantify the return of an effort in calibrating in terms of leak detection one of the main issues in water industry [2].

  • PLIO: a generic tool for real-time operational predictive optimal control of water networks

     Cembrano Gennari, M.gabriela Elena; Quevedo Casin, Joseba-jokin; Puig Cayuela, Vicenç; Pérez Magrané, Ramon; Figueras Jove, Jaume; Verdejo, M.; Escaler, I.; Ramón, G.; Barnet, P.; Rodríguez, P.; Casas, M.
    Water science and technology
    Vol. 64, num. 2, p. 448-459
    DOI: 10.2166/wst.2011.431
    Date of publication: 2011-07
    Journal article

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  • Methodology for Leakage Isolation using Pressure Sensitivity Analysis in Water Distribution Networks

     Pérez Magrané, Ramon; Puig Cayuela, Vicenç; Pascual Pañach, Josep; Quevedo Casin, Joseba-jokin; Landeros, E.; Peralta, Antoni
    Control engineering practice
    Vol. 19, num. 10, p. 1157-1167
    DOI: 10.1016/j. conengprac.2011.06.004
    Date of publication: 2011-07
    Journal article

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