Enviaments recents

  • Ensemble learning as approach for pipeline condition assessment 

    Camacho-Navarro, Jhonatan; Ruiz Ordóñez, Magda; Villamizar Mejía, Rodolfo; Mujica Delgado, Luis Eduardo; Moreno Beltran, Gustavo Adolfo (Ghent University, 2017)
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    The algorithms commonly used for damage condition monitoring present several drawbacks related to unbalanced data, optimal training requirements, low capability to manage feature diversity and low tolerance to errors. In ...
  • Structural damage localization through an innovative hybrid ensemble approach 

    Moreno Beltran, Gustavo Adolfo; Villamizar Mejía, Rodolfo; Camacho-Navarro, Jhonatan; Ruiz Ordóñez, Magda; Mujica Delgado, Luis Eduardo (Centre Internacional de Mètodes Numèrics en Enginyeria (CIMNE), 2017)
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    Accés restringit per política de l'editorial
    Damage localization in structures can be achieved by using an appropriate data interpretation algorithm based on the expected structural response. According to the several algorithms reported in literature, a different ...
  • 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)
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    Accés restringit per política de l'editorial
    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 ...
  • Signal-based bending stress monitoring using guided waves in hollow cylinders 

    Quiroga, Jabid; Mujica Delgado, Luis Eduardo; Villamizar Mejía, Rodolfo; Ruiz Ordóñez, Magda; Camacho-Navarro, Jhonatan (Centre Internacional de Mètodes Numèrics en Enginyeria (CIMNE), 2017)
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    Accés restringit per política de l'editorial
    This work provides a time domain approach to detect stress changes in hollow cylinders using low frequency ultrasound guided waves; the proposed scheme makes uses of the subtract method for stress level estimation. Residuals ...
  • Sensor fault detection in a damage detection approach based on piezodiagnostics 

    Ruiz Ordóñez, Magda; Camacho-Navarro, Jhonatan; Villamizar Mejía, Rodolfo; Mujica Delgado, Luis Eduardo (2016)
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    Online monitoring systems demand an adequate operation of sensor system used to acquire structural state measurements. If a damaged sensor record is incorporated in the diagnosis algorithm, it could be generate uncertainties ...
  • Sensor selection based on principal component analysis for fault detection in wind turbines 

    Pozo Montero, Francesc; Vidal Seguí, Yolanda (2016)
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    Growing interest for improving the reliability of safety-critical structures, such as wind turbines, has led to the advancement of structural health monitoring (SHM). Existing techniques for fault detection can be broadly ...
  • Fault tolerant control design of floating offshore wind turbines 

    Rodellar Benedé, José; Tutivén Gálvez, Christian; Acho Zuppa, Leonardo; Vidal Seguí, Yolanda (2016)
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    This work is concerned with active vibration mitigation in wind turbines (WT) but not through the use of specifically tailored devices. Instead, a general control scheme is designed for torque and pitch controllers based ...
  • Multidimensional big data processing for damage detection in real pipelines using a smart pig tool 

    Ruiz Ordóñez, Magda; Mujica Delgado, Luis Eduardo; Alférez Baquero, Edwin Santiago; Quintero, Mario; Villamizar Mejía, Rodolfo (2016)
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    The history of the hydrocarbons business in Colombia dates back to the early twentieth century where mining and energy sector has been one of the principal pillars for the its development. Thus, the pipelines currently in ...
  • Embedded piezodiagnostics for online structural damage detection based on PCA algorithm 

    Camacho-Navarro, Jhonatan; Ruiz Ordóñez, Magda; Villamizar Mejía, Rodolfo; Mujica Delgado, Luis Eduardo; Ariza, Fabian (2016)
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    This work discusses a methodology used to implement a data-driven strategy for Structural Health Monitoring. First, the instrumentation of the equipment is detailed by describing the main components to be installed in the ...
  • Parameter identification of large-scale magnetorheological dampers in a benchmark building 

    Bahar, Arash; Pozo Montero, Francesc; Acho Zuppa, Leonardo; Rodellar Benedé, José; Barbat Barbat, Horia Alejandro (2009)
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    Magnetorheological (MR) dampers are devices that can be use d for vibration re- duction in structures. However, to use these devices in an ef fective way, a precise modeling is required. In this sense, in this paper we ...

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