Now showing items 1-8 of 8

    • A damage classification approach for structural health monitoring using machine learning 

      Tibaduiza Burgos, Diego Alexander; Torres-Arredondo, Miguel Ángel; Vitola Oyaga, Jaime; Anaya Vejar, Maribel; Pozo Montero, Francesc (2018-12-02)
      Article
      Open Access
      Inspection strategies with guided wave-based approaches give to structural health monitoring (SHM) applications several advantages, among them, the possibility of the use of real data from the structure which enables ...
    • A machine learning methodology for structural damage classification in structural health monitoring 

      Pozo Montero, Francesc; Tibaduiza Burgos, Diego Alexander; Anaya Vejar, Maribel; Vitola Oyaga, Jaime (2017)
      Conference report
      Restricted access - publisher's policy
      One of the goals of structural health monitoring (SHM) applications is to determine the presence and the severity of a damage. In some cases, this is an element to forecast the behaviour and take decisions to allocate ...
    • A sensor data fusion system based on k-nearest neighbor pattern classification for structural health monitoring applications 

      Vitola Oyaga, Jaime; Pozo Montero, Francesc; Tibaduiza Burgos, Diego Alexander; Anaya Vejar, Maribel (2017-02-21)
      Article
      Open Access
      Civil and military structures are susceptible and vulnerable to damage due to the environmental and operational conditions. Therefore, the implementation of technology to provide robust solutions in damage identification ...
    • Damage classification based on machine learning applications for an unmanned aerial vehicle 

      Anaya Vejar, Maribel; Ceron, Hernan; Vitola Oyaga, Jaime; Tibaduiza Burgos, Diego Alexander; Pozo Montero, Francesc (2017)
      Conference lecture
      Restricted access - publisher's policy
      Unmanned aerial vehicles (UAVs) are well-known by its advantages in several applications such as surveillance and monitoring for instance in agricultural applications or fire control among others. These missions can be ...
    • Data-driven methodologies for structural damage detection based on machine learning applications 

      Vitola Oyaga, Jaime; Anaya Vejar, Maribel; Tibaduiza Burgos, Diego Alexander; Pozo Montero, Francesc (2016-12)
      Part of book or chapter of book
      Restricted access - publisher's policy
      Structural health monitoring (SHM) is an important research area, which interest is the damage identification process. Different information about the state of the structure can be obtained in the process, among them, ...
    • Distributed piezoelectric sensor system for damage identification in structures subjected to temperature changes 

      Vitola Oyaga, Jaime; Pozo Montero, Francesc; Tibaduiza Burgos, Diego Alexander; Anaya Vejar, Maribel (2017-05-31)
      Article
      Open Access
      Structural health monitoring (SHM) is a very important area in a wide spectrum of fields and engineering applications. With an SHM system, it is possible to reduce the number of non-necessary inspection tasks, the associated ...
    • Non-linear damage classification based on machine learning and damage indices 

      Tibaduiza Burgos, Diego Alexander; Torres-Arredondo, Miguel Ángel; Vitola Oyaga, Jaime; Anaya Vejar, Maribel; Pozo Montero, Francesc (2017)
      Conference lecture
      Restricted access - publisher's policy
      The use of guided wave-based approaches presents some advantages in the structural inspection and damage identification processes. It is driven by the fact that these waves can propagate over relatively long distances and ...
    • Structural damage detection and classification based on machine learning algorithms 

      Vitola Oyaga, Jaime; Tibaduiza Burgos, Diego Alexander; Anaya Vejar, Maribel; Pozo Montero, Francesc (2016)
      Conference lecture
      Open Access
      Structural Health Monitoring is a growing area of interest given the benefits obtained from its use. This area includes different tasks in the damage identification process, among them, the most important is the damage ...