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Drilling process monitoring: A framework for data gathering and feature extraction techniques 

Duo, Aitor; Basagoiti, Rosa; ARRAZOLA, PEDRO JOSE (Elsevier B.V., 2021)
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Sensor and CNC internal signal evaluation to detect tool and workpiece malfunctions in the drilling process 

Duo, Aitor (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2021)
Lehiakortasuna bultzatzeko eta bezeroen eskaera aldakorrei erantzuteko, fabrikazio sektorea Informazio eta Komunikazio Teknologiak (IKT) aprobetxatzen ari da. Mekanizazioa ez da salbuespena, eta mekanizazio prozesuak sare ...

Sensor signal selection for tool wear curve estimation and subsequent tool breakage prediction in a drilling operation 

Duo, Aitor; Basagoiti, Rosa; ARRAZOLA, PEDRO JOSE; CUESTA ZABALAJAUREGUI, MIKEL (Taylor & Francis, 2021)
Tool condition monitoring have an important role in machining processes to reduce defective component and ensure quality requirements. Stopping the process before the tool breaks or an excessive tool wear is reached can ...

Surface roughness assessment on hole drilled through the identification and clustering of relevant external and internal signal statistical features 

Duo, Aitor; Basagoiti, Rosa; ARRAZOLA, PEDRO JOSE; CUESTA ZABALAJAUREGUI, MIKEL; Illarramendi, Miren (Elsevier, 2022)
Drilling is a continuous cutting process where two or more cutting edges remove the material, to obtain the desired feature. During the chip evacuation, it generally rubs against the generated surface. Thus, the roughness ...

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AuthorDuo, Aitor (3)ARRAZOLA, PEDRO JOSE (2)Basagoiti, Rosa (2)CUESTA ZABALAJAUREGUI, MIKEL (2)ARRAZOLA, PEDRO JOSE (1)Basagoiti, Rosa (1)Duo, Aitor (1)Illarramendi, Miren (1)SubjectDrilling (2)Análisis de datos (1)Aplicaciones mecanizadas (1)Clustering, PCA (1)Data mining (1)Inconel 718 (1)Machine learning (1)Surface Roughnes (1)Tool condition monitoring (1)Técnicas de predicción estadística (1)... View MoreDate Issued2021 (3)2022 (1)Has File(s)Yes (4)

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