Now showing items 1-7 of 7

    • Bearing assessment tool for longitudinal bridge performance 

      Garcia-Sanchez, D.; Fernandez-Navamuel, A.Autoridad BCAM; Zamora, D.; Alvear, D.; Pardo, D.Autoridad BCAM (2020-09)
      This work provides an unsupervised learning approach based on a single-valued performance indicator to monitor the global behavior of critical components in a viaduct, such as bearings. We propose an outlier detection ...
    • Combined model-based and machine learning approach for damage identification in bridge type structures 

      Fernandez-Navamuel, A.Autoridad BCAM; Zamora-Sánchez, D.; Armijo-Prieto, A.; Varona-Poncela, T.; García-Sánchez, D.; García-Villena, F.; Ruiz-Cuenca, F. (2022-06)
      In this work, we propose a combined approach of model-based and machine learning techniques for damage identification in bridge structures. First, a finite element model is calibrated with real data from experimental ...
    • Deep learning enhanced principal component analysis for structural health monitoring 

      Fernandez-Navamuel, A.Autoridad BCAM; Magalhães, Filipe; Zamora-Sánchez, Diego; Omella, Ángel J.; Garcia-Sanchez, David; Pardo, D.Autoridad BCAM (2022-01-01)
      This paper proposes a Deep Learning Enhanced Principal Component Analysis (PCA) approach for outlier detection to assess the structural condition of bridges. We employ partially explainable autoencoder architecture to ...
    • Supervised Deep Learning with Finite Element simulations for damage identification in bridges 

      Fernandez-Navamuel, A.Autoridad BCAM; Zamora-Sánchez, Diego; Omella, Ángel J.; Pardo, D.Autoridad BCAM; Garcia-Sanchez, David; Magalhães, Filipe (2022-04-15)
      This work proposes a supervised Deep Learning approach for damage identification in bridge structures. We employ a hybrid methodology that incorporates Finite Element simulations to enrich the training phase of a Deep ...
    • Vibration-Based SHM Strategy for a Real Time Alert System with Damage Location and Quantification 

      Fernández-Navamuel, A.Autoridad BCAM; Zamora-Sánchez, D.; Varona-Poncela, T.; Jiménez-Fernández, C.; Díez-Hernández, J.; García-Sánchez, D.; Pardo, D.Autoridad BCAM (2021-01)
      We present a simple and fully automatable vibration-based Structural Health Monitoring (SHM) alert system. The proposed method consists in applying an Automated Frequency Domain Decomposition (AFDD) algorithm to obtain the ...
    • Vibration-Based SHM Strategy for a Real Time Alert System with Damage Location and Quantification 

      Fernandez - Navamuel, A.Autoridad BCAM; Zamora - Sánchez, D.; Varona - Poncela, T.; Jiménez - Fernández, C.; Díez - Hernández, J.; García Sánchez, D.; Pardo, D.Autoridad BCAM (2021-01-11)
      We present a simple and fully automatable vibration-based Structural Health Monitoring (SHM) alert system. The proposed method consists in applying an Automated Frequency Domain Decomposition (AFDD) algorithm to obtain the ...
    • Vibration-based SHM strategy for a real time alert system with damage location and quantification 

      Fernandez-Navamuel, A.Autoridad BCAM; Zamora-Sánchez, D.; Varona-Poncela, T.; Jiménez-Fernández, C.; Díez-Hernández, J.; García-Sánchez, D. (2021-01)
      We present a simple and fully automatable vibration-based Structural Health Monitoring (SHM) alert system. The proposed method consists in applying an Automated Frequency Domain Decomposition (AFDD) algorithm to obtain the ...