Zerrendatu Artikuluak-Ingeniaritza honen arabera: egilea "0450c040dfb1b80c9c3308e40a3eaf5d"
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Best Practice Data Sharing Guidelines for Wind Turbine Fault Detection Model Evaluation
Izagirre, Unai; Serradilla, Oscar; Olaizola, Jon; Zugasti, Ekhi; Aizpurua Unanue, Jose Ignacio (MDPI, 2023)In this paper, a set of best practice data sharing guidelines for wind turbine fault detection model evaluation is developed, which can help practitioners overcome the main challenges of digitalisation. Digitalisation is ... -
An interpretable operational state classification framework for elevators through Convolutional Neural Networks
Olaizola Alberdi, Jon; Izagirre, Unai; Serradilla Casado, Oscar; Zugasti, Ekhi; Mendicute, Mikel; Aizpurua Unanue, José Ignacio (Wiley, 2025)Ensuring the safe, reliable, and cost-efficient operation of transportation systems such as elevators is critical for the maintenance of civil infrastructures. The ability to monitor the health state and classify different ... -
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 ... -
Novel automated interactive reinforcement learning framework with a constraint-based supervisor for procedural tasks
Elguea Aguinaco, Iñigo; Aguirre, Aitor; Izagirre, Unai; Inziarte Hidalgo, Ibai; Bogh, Simon; Arana-Arexolaleiba, Nestor (Elsevier, 2025)Learning to perform procedural motion or manipulation tasks in unstructured or uncertain environments poses significant challenges for intelligent agents. Although reinforcement learning algorithms have demonstrated positive ... -
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 ... -
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 ...
