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Ana Fernandez Navamuel

Postdoc Fellow

M +34 946 567 842
F +34 946 567 842
E afernandez@bcamath.org

Information of interest

BCAM-TECNALIA PostDoc Fellow

  • Deep learning enhanced principal component analysis for structural health monitoring 

    Fernandez-Navamuel, A.Autoridad BCAM; Magalhães, F.; Zamora-Sánchez, D.; Omella, A. J.; Garcia-Sanchez, D.; Pardo, D.Autoridad BCAM (2022-01-18)
    This paper proposes a Deep Learning enhanced Principal Component Analysis (PCA) approach for outlier detection to assess the structural condition of bridges. We employ a partially explainable autoencoder architecture to ...
  • 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 ...
  • 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 ...

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