CNN-based in situ tool wear detection: A study on model training and data augmentation in turning inserts

Author:

García-Pérez AlbertoORCID,Ziegenbein Amina,Schmidt EricORCID,Shamsafar FaranakORCID,Fernández-Valdivielso Asier,Llorente-Rodríguez Raúl,Weigold Matthias

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Hardware and Architecture,Software,Control and Systems Engineering

Reference64 articles.

1. Edge finishing of large turbine casings using defined multi-edge and abrasive tools in automated cells;Rodríguez;Int J Adv Manuf Technol,2021

2. A reliable turning process by the early use of a deep simulation model at several manufacturing stages;Urbikain;Machines,2017

3. Spanen;Denkena,2011

4. Fertigungsverfahren 1;Klocke,2018

5. Probability of detection (POD) for nondestructive evaluation (NDE);Matzkanin,2001

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