1EPS Sistemas embebidos y sistemas inteligentes para sistemas industriales
Ámbito de investigación
Aitor
Duo Zubiaurre
Investigador en el periodo 2017-2023
Publicaciones en las que colabora con Aitor Duo Zubiaurre (9)
2024
2022
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Active Power Optimization of a Turning Process by Cutting Conditions Selection: A Q-Learning Approach
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
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Sensor signal selection for tool wear curve estimation and subsequent tool breakage prediction in a drilling operation
International Journal of Computer Integrated Manufacturing, Vol. 35, Núm. 2, pp. 203-227
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Surface roughness assessment on hole drilled through the identification and clustering of relevant external and internal signal statistical features
CIRP Journal of Manufacturing Science and Technology, Vol. 36, pp. 143-157
2021
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Drilling process monitoring: A framework for data gathering and feature extraction techniques
Procedia CIRP
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Sensor and cnc internal signal evaluation to detect tool and workpiece malfunctions in the drilling process
Sensor and cnc internal signal evaluation to detect tool and workpiece malfunctions in the drilling process
2020
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Estimación cualitativa de la rugosidad mediante algoritmos de aprendizaje automático en una operación de taladrado
Revista DYNA, Vol. 95, Núm. 5, pp. 487-491
2019
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Drilling test data from new and worn bits
Mondragon Unibertsitatea. Goi Eskola Politeknikoa
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The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process
International Journal of Advanced Manufacturing Technology, Vol. 102, Núm. 5-8, pp. 2133-2146