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    • Contributions to induction thermography inspection and automated view planning 

      Urtasun Marco, Beñat (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2024)
      The non-destructive inspection industry faces challenges in automating processes quickly to meet growing demands. Techniques like active thermography and 3D measurments encounter difficulties in contexts requiring reduced ...
    • Depth Data Denoising in Optical Laser Based Sensors for Metal Sheet Flatness Measurement: A Deep Learning Approach 

      Alonso, Marcos; Maestro-Watson, Daniel; Izaguirre Altuna, Alberto; andonegui, imanol (MDPI, 2021)
      Surface flatness assessment is necessary for quality control of metal sheets manufactured from steel coils by roll leveling and cutting. Mechanical-contact-based flatness sensors are being replaced by modern laser-based ...
    • A methodology and experimental implementation for industrial robot health assessment via torque signature analysis 

      Izagirre, Unai; andonegui, imanol; Egea, Aritz; Zurutuza, Urko (MDPI AG, 2020)
      This manuscript focuses on methodological and technological advances in the field of health assessment and predictive maintenance for industrial robots. We propose a non-intrusive methodology for industrial robot joint ...
    • Optical Dual Laser Based Sensor Denoising for OnlineMetal Sheet Flatness Measurement Using Hermite Interpolation 

      Alonso, Marcos; Izaguirre Altuna, Alberto (MDPI AG, 2020)
      Flatness sensors are required for quality control of metal sheets obtained from steel coils by roller leveling and cutting systems. This article presents an innovative system for real-time robust surface estimation of ...
    • Phase-shifted imaging on multi-directional induction thermography 

      Urtasun Marco, Beñat; andonegui, imanol (Springer Nature, 2023)
      A novel multi-directional eddy current thermography (ECT) system is presented generating sets of directional phase images that have been fused with a processing pipeline allowing for an improved probability of detection ...
    • A practical and synchronized data acquisition network architecture for industrial robot predictive maintenance in manufacturing assembly lines 

      Izagirre, Unai; andonegui, imanol; Zurutuza, Urko (Elsevier Ltd., 2021)
      This manuscript presents a methodology and a practical implementation of a network architecture for industrialrobot data acquisition and predictive maintenance. We propose a non-intrusive and scalable robot signalextraction ...
    • Sparse sampling-based view planning for complex geometries 

      Urtasun Marco, Beñat; andonegui, imanol (IEEE, 2024)
      In this paper, an automatic sampling-based view planning algorithm is proposed, for accurate 3D reconstruction of complex geometry parts present in manufacturing. The initial viewpoint sampling method is able to lower the ...
    • Towards manufacturing robotics accuracy degradation assessment: A vision-based data-driven implementation 

      Izagirre, Unai; andonegui, imanol; Eciolaza, Luka; Zurutuza, Urko (Elsevier, 2021)
      In this manuscript we report on a vision-based data-driven methodology for industrial robot health assessment. We provide an experimental evidence of the usefulness of our methodology on a system comprised of a 6-axis ...

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