Ara es mostren els items 1-20 de 38

    • A novel condition monitoring methodology based on neural network of pump-turbines with extended operating range 

      Zhao, Weiqiang; Egusquiza Estévez, Eduard; Valero Ferrando, Ma. del Carmen; Egusquiza Montagut, Mònica; Valentín Ruiz, David; Presas Batlló, Alexandre (2019)
      Text en actes de congrés
      Accés obert
      Due to the entrance of new renewable energies, water-storage energy has to be regulated more frequently to keep the stability of power grid. Consequently, pump-turbines have to work under offdesign conditions more than ...
    • A novel distributed fiber-optic strain sensor 

      García Hernández, Miguel J.; Ortega Redondo, Juan Antonio; Chávez Domínguez, Juan Antonio; Salazar Soler, Jorge; Turó Peroy, Antonio (2002-08)
      Article
      Accés restringit per política de l'editorial
      The theory of operation of a fiber-optic-based strain sensor system, suitable for long structures, is described. The proposed sensor design is composed of several hundreds of sections separated by reflectors in order to ...
    • A UAV-based 3D model for building condition monitoring 

      Banaszek, Anna; Banaszek, Sebastian; Cellmer, Anna; Gibert Armengol, Vicente; Serrat Piè, Carles (Koszalin University of Technology Publishing House, 2019)
      Capítol de llibre
      Accés obert
      The aim of the paper is to introduce a tool for the accurate assessment of the technical condition of buildings. The proposed methodology is becoming an efficient strategy for the massive inspection of building stocks, in ...
    • Advanced condition monitoring of Pelton turbines 

      Egusquiza Montagut, Mònica; Egusquiza Estévez, Eduard; Valero Ferrando, Ma. del Carmen; Presas Batlló, Alexandre; Valentín Ruiz, David; Bossio, Matias (2018-04)
      Article
      Accés obert
      The ability of hydropower to adapt the electricity generation to the demand is necessary to integrate wind and solar energy into the electrical grid. Nowadays, hydropower turbines are required to work under harsher operating ...
    • Analysis of machine learning based condition monitoring schemes applied to complex electromechanical systems 

      Arellano Espitia, Francisco; González Abreu, Artvin Darién; Delgado Prieto, Miquel; Saucedo Dorantes, Juan Jose; Osornio Rios, Roque A. (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      In the modern industry framework, the application of condition monitoring schemes over electromechanical systems is being subjected to demanding requirements. Currently, the massive digitalization of industrial assets ...
    • Autoencoder based feature reduction analysis applied to electromechanical systems condition monitoring 

      Arellano Espitia, Francisco; Saucedo Dorantes, Juan Jose; Delgado Prieto, Miquel; Osornio Rios, Roque A. (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Condition monitoring in electromechanical systems represents, currently, one of the most critical challenges dealing with the advancement and modernization in intelligent manufacturing. In this regard, machine learning ...
    • Condition monitoring strategy based on an optimized selection of high-dimensional set of hybrid features to diagnose and detect multiple and combined faults in an induction motor 

      Saucedo Dorantes, Juan Jose; Jaen Cuellar, Arturo Yosimar; Delgado Prieto, Miquel; Romero Troncoso, René de Jesús; Osornio Rios, Roque A. (Elsevier, 2021-06-01)
      Article
      Accés obert
      The development of novel condition monitoring strategies represents a critical challenge to ensure the effectiveness and reliability of complex industrial processes. Indeed, the interconnectivity of multiple variables ...
    • Contributions to industrial process condition forecasting applied to copper rod manufacturing process 

      Zurita Millán, Daniel (Universitat Politècnica de Catalunya, 2017-09-08)
      Tesi
      Accés obert
      Ensuring reliability and robustness of operation is one of the main concerns in industrial anufacturing processes , dueto the ever-increasing demand for improvements over the cost and quality ofthe processes outcome. In ...
    • Data-driven operation performance evaluation of multi-chiller system using self-organizing maps 

      Cirera Balcells, Josep; Quiles Zaguirre, Maria; Cariño Corrales, Jesús Adolfo; Zurita Millán, Daniel; Ortega Redondo, Juan Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Industrial plants performance evaluation has become a difficult task due to the machinery complexity. Multi-chiller systems take up big proportion of energy in food and beverage companies. Complex refrigeration generation ...
    • Deep learning based condition monitoring approach applied to power quality 

      González Abreu, Artvin Darién; Saucedo Dorantes, Juan Jose; Osornio Rios, Roque A.; Arellano Espitia, Francisco; Delgado Prieto, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Condition monitoring applied to power quality involves several techniques and procedures for the assessment of the electrical signal. Data-driven approaches are the most common methodologies supported on data and signal ...
    • Deep learning based methodologies applied to industrial electromechanical systems monitoring 

      Arellano Espitia, Francisco (Universitat Politècnica de Catalunya, 2023-10-10)
      Tesi
      Accés obert
      (English) In recent years, there has been significant attention from both the academic and industry sectors towards condition-based maintenance of rotating systems. This attention stems from the high relevance of these ...
    • Deep-compact-clustering based anomaly detection applied to electromechanical industrial systems 

      Arellano Espitia, Francisco; Delgado Prieto, Miquel; González Abreu, Artvin Darién; Saucedo Dorantes, Juan Jose; Osornio Rios, Roque A. (Multidisciplinary Digital Publishing Institute (MDPI), 2021-08-30)
      Article
      Accés obert
      The rapid growth in the industrial sector has required the development of more productive and reliable machinery, and therefore, leads to complex systems. In this regard, the automatic detection of unknown events in machinery ...
    • Diagnosis electromechanical system by means CNN and SAE: an interpretable-learning study 

      Arellano Espitia, Francisco; Delgado Prieto, Miquel; Martínez Viol, Víctor; Saucedo Dorantes, Juan Jose; Osornio Rios, Roque A. (Institute of Electrical and Electronics Engineers (IEEE), 2022)
      Text en actes de congrés
      Accés obert
      Cyber-physical systems are the response to the adaptability, scalability and accurate demands of the new era of manufacturing called Industry 4.0. They will become the core technology of control and monitoring in smart ...
    • 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 ...
    • Distributed neuro-fuzzy feature forecasting approach for condition monitoring 

      Zurita Millán, Daniel; Cariño Corrales, Jesús Adolfo; Delgado Prieto, Miquel; Ortega Redondo, Juan Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2014)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      The industrial machinery reliability represents a critical factor in order to assure the proper operation of the whole productive process. In regard with this, diagnosis schemes based on physical magnitudes acquisition, ...
    • Early fault diagnosis strategy for WT main bearings based on SCADA data and one-class SVM 

      Tutivén Gálvez, Christian; Vidal Seguí, Yolanda; Insuasty, Andrés; Campoverde-Vilela, Lorena; Achicanoy, Wilson (2022-06-16)
      Article
      Accés obert
      To reduce the levelized cost of wind energy, through the reduction in operation and maintenance costs, it is imperative that the wind turbine downtime is reduced through maintenance strategies based on condition monitoring. ...
    • Evaluation of multiclass novelty detection algorithms for electric machine monitoring 

      Ramirez Chavez, Mayra; Ruiz Soto, Lucía; Arellano Espitia, Francisco; Saucedo Dorantes, Juan Jose; Delgado Prieto, Miquel; Romeral Martínez, José Luis (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      The detection of unexpected events represents, currently, one of the most critical challenges dealing with electromechanical system diagnosis. In this regard, machine learning based algorithms widely applied in other fields ...
    • Extension of operating range in pump-turbines. Influence of head and load 

      Valero Ferrando, Ma. del Carmen; Egusquiza Montagut, Mònica; Egusquiza Estévez, Eduard; Presas Batlló, Alexandre; Valentín Ruiz, David; Bossio, Matias (2017-12-19)
      Article
      Accés obert
      Due to the increasing share of new renewable energies like wind and solar in the generation of electricity the need for power regulation and energy storage is becoming of paramount importance. One of the systems to store ...
    • Fault detection and identification methodology under an incremental learning framework applied to industrial electromechanical systems 

      Cariño Corrales, Jesús Adolfo (Universitat Politècnica de Catalunya, 2017-09-08)
      Tesi
      Accés obert
      Condition Based Maintenance is a program that recommends actions based on the information collected and interpreted through condition monitoring and has become accepted since a decade ago by the industry as a key factor ...
    • Feature Selection Algorithms for Wind Turbine Failure Prediction 

      Marti Puig, Pere; Blanco Martínez, Alejandro; Cárdenas Araújo, Juan José; Cusidó Roura, Jordi; Sole Casals, Jordi (2019-01-31)
      Article
      Accés obert
      It is well known that each year the wind sector has profit losses due to wind turbine failures and operation and maintenance costs. Therefore, operations related to these actions are crucial for wind farm operators and ...