• Automatic damage classification based on wave cluster and principal component analysis 

      Garibnezhad, Fahit; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José; Fritzen, Claus-Peter (2013)
      Comunicació de congrés
      Accés obert
      Principal Component Analysis (PCA) plays a significant role in SHM field. There are plenty of algorithms that use PCA either directly or indirectly to detect damages in structures. Although PCA shows a successful role ...
    • Damage assessment in a stiffened composite panel using non-linear data-driven modelling and ultrasonic guided waves 

      Torres-Arredondo, Miguel Angel; Tibaduiza Burgos, Diego Alexander; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José; Fritzen, Claus-Peter (2013)
      Text en actes de congrés
      Accés obert
      Structural components made of composite materials are being used more often in aerospace and aeronautic structures due to their well-known properties such as high mass specific stiffness and strength. However, their ...
    • Damage detection in piping systems using pattern recognition techniques 

      Buethe, Inka; Torres-Arredondo, Miguel Angel; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José; Fritzen, Claus-Peter (2013)
      Text en actes de congrés
      Accés obert
      The interest in the propagation of ultrasound waves in pipe-like solid waveguides arises out of several areas of the structural health monitoring (SHM) community for the detection, localization and assessment of defects ...
    • Damage detection using robust fuzzy principal component analysis 

      Gharibnezhad, Fahit; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José; Fritzen, Claus-Peter (2013)
      Text en actes de congrés
      Accés obert
      In this work Robust Fuzzy Principal Component Analysis (RFPCA) is used and compared with comparing with classical Principal Component Analysis (PCA) to detect and classify damages. It has been proved that the RFPCA method ...