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Diagnosis of aerospace structure defects by a HPC implemented soft computing algorithm

D'Angelo, Gianni ; Rampone, Salvatore

2014 IEEE Metrology for Aerospace (MetroAeroSpace), May 2014, pp.408-412

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  • Titolo:
    Diagnosis of aerospace structure defects by a HPC implemented soft computing algorithm
  • Autore: D'Angelo, Gianni ; Rampone, Salvatore
  • Note di contenuto: This study concerns with the diagnosis of aerospace structure defects by applying a HPC parallel implementation of a novel learning algorithm, named U-BRAIN. The Soft Computing approach allows advanced multi-parameter data processing in composite materials testing. The HPC parallel implementation overcomes the limits due to the great amount of data and the complexity of data processing. Our experimental results illustrate the effectiveness of the U-BRAIN parallel implementation as defect classifier in aerospace structures. The resulting system is implemented on a Linux-based cluster with multi-core architecture.
  • Fa parte di: 2014 IEEE Metrology for Aerospace (MetroAeroSpace), May 2014, pp.408-412
  • Soggetti: Composite Materials ; Testing ; Data Processing ; Eddy Currents ; Aerospace Materials ; Complexity Theory ; Non-Destructive Testing ; Learning Algorithm ; Parallel Computing ; Hpc ; Signature-Based Classifier ; Eddy Current
  • Lingua: Inglese
  • Tipo: Atti di convegno
  • Identificativo: E-ISBN: 9781479920693 ; E-ISBN: 147992069X ; DOI: 10.1109/MetroAeroSpace.2014.6865959

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