Exploració per tema "Fault Diagnosis"

Ara es mostren els items 1-10 de 10

    • A neural network-based robust unknown input observer design: Application to wind turbine 

      Witczak, Piotr; Patan, Krzysztof; Witczak, Marcin; Puig Cayuela, Vicenç; Jozef, Korbicz (International Federation of Automatic Control (IFAC), 2015)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      The paper deals with the problem of robust unknown input observer design for the neural-network based models of non-linear discrete-time systems. Authors review the recent development in the area of robust observers for ...

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

      Quevedo Casín, Joseba Jokin; Pascual Pañach, Josep; Puig Cayuela, Vicenç; Saludes Closa, Jordi; Espin, S; Roquet, J (2012)
      Text en actes de congrés
      Accés restringit per decisió de l'autor
      The purpose of this paper is to provide a data validation/reconstruction of flowmeters that allow to determine the annual economic and hydraulic efficiency of the water transport network of Aigües Ter Llobregat (ATLL) ...

    • Development of machine learning strategies for fault diagnosis in virtual plants (Digital Twin) 

      Martínez López, Kevin (Universitat Politècnica de Catalunya, 2021-07-07)
      Projecte Final de Màster Oficial
      Accés obert
      En aquest projecte, s’ha validat la possibilitat de realitzar la monitorització de dades i el diagnòstic d’errors en línia (mentre s’executa la simulació) d’una planta química simulada (Digital Twin, en Anglès). La simulació ...

    • Diagnosis Methodology Based on Statistical-time Features and Linear Discriminant Analysis Applied to Induction Motors 

      Saucedo Dorantes, Juan Jose; Osornio Rios, Roque A.; Delgado Prieto, Miquel; Romero Troncoso, René de Jesús (2017)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      The development of condition monitoring strategies is necessary to ensure the efficiency and reliability of the operation on electric machines. The feature calculation is an important signal processing step used to obtain ...

    • Diagnosis methodology for identifying gearbox wear based on statistical time feature reduction 

      Saucedo Dorantes, Juan Jose; Delgado Prieto, Miquel; Osornio Rios, Roque A.; Romero Troncoso, René de Jesús (2017-01-01)
      Article
      Accés obert
      Strategies for condition monitoring are relevant to improve the operation safety and to ensure the efficiency of all the equipment used in industrial applications. The feature selection and feature extraction are suitable ...

    • Fault Diagnosis of a Wind Farm using Interval Parity Equations 

      Blesa Izquierdo, Joaquim; Jiménez, P.; Rotondo, Damiano; Nejjari Akhi-Elarab, Fatiha; Puig Cayuela, Vicenç (2014)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      In this paper, the problem of fault diagnosis of a wind farm is addressed using interval parity equations. Fault detection is based on the use of parity equations and unknown but bounded description of the noise and ...

    • Fault-tolerant model predictive control applied to integrated urban drainage and sanitation systems for environmental protection 

      Meseguer Amela, Jordi; Joseph Duran, Bernat; Cembrano Gennari, Gabriela; Puig Cayuela, Vicenç (2018)
      Text en actes de congrés
      Accés obert
      This paper presents a FTC framework for a Real-Time MPC-based Controller applied to Integrated Urban Drainage and Sanitation Systems (UDSSs) which was proposed in the LIFE EFFIDRAIN project. This project deals with the ...

    • Leak localization in water distribution networks using classifiers with cosenoidal features 

      Santos-Ruiz, I; Blesa Izquierdo, Joaquim; Puig Cayuela, Vicenç; Lopez-Estrada, F.R. (2020)
      Text en actes de congrés
      Accés obert
      This paper presents a leak localization approach for water distribution networks using classifiers with pressure residuals as input features. This approach is based on applying a non-linear transformation to the residuals ...

    • Model-based sensor supervision inland navigation networks: Cuinchy-Fontinettes case study 

      Blesa Izquierdo, Joaquim; Horváth, Klaudia; Duviella, Eric; Puig Cayuela, Vicenç; Bolea Monte, Yolanda; Rajaoarisoa, Lala H.; Chuquet, Karine (Universidad de Cantabria, 2014-09-01)
      Article
      Accés obert
      In recent years, inland navigation networks bene¿t from the innovation of the instrumentation and SCADA systems. These data acquisition and control systems lead to the improvement of the management of these networks. ...

    • Optimal features selection for designing a fault diagnosis system 

      Ardakani, Mohammadhamed; Askarian, Mahdieh; Shokry Abdelaleem Taha Zied, Ahmed; Escudero Bakx, Gerard; Graells Sobré, Moisès; Espuña Camarasa, Antonio (Elsevier, 2016)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Fault diagnosis (FD) using data-driven methods is essential for monitoring complex process systems, but its performance is severely affected by the quality of the used information. Additionally, processing huge amounts of ...