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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 ...
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The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process 

Duo, Aitor; Basagoiti, Rosa; ARRAZOLA, PEDRO JOSE; Aperribay Zubia, Javier; CUESTA ZABALAJAUREGUI, MIKEL (Springer Verlag, 2019)
Industrial processes are being developed under a new scenario based on the digitalisation of manufacturing processes.Through this, it is intended to improve the management of resources, decision-making, ...

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Author
ARRAZOLA, PEDRO JOSE (2)
Basagoiti, Rosa (2)
CUESTA ZABALAJAUREGUI, MIKEL (2)
Duo, Aitor (2)
Aperribay Zubia, Javier (1)Subject
Drilling (2)
Machine learning (2)
Tool condition monitoring (2)
Data mining (1)Inconel 718 (1)tool wear (1)... másFecha2019 (1)2021 (1)Has File(s)
Yes (2)

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