Litcius/Paper detail

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

Alberto García-Pérez, Amina Ziegenbein, Eric Schmidt, Faranak Shamsafar, A. Fernández-Valdivielso, Raúl Llorente-Rodríguez, Matthias Weigold

2023Journal of Manufacturing Systems58 citationsDOIOpen Access PDF

Topics & Concepts

Insert (composites)MachiningArtificial intelligenceConvolutional neural networkCasingWeightingClassifier (UML)Tool wearComputer scienceProcess (computing)Artificial neural networkData acquisitionPattern recognition (psychology)Training setBinary classificationEngineeringEngineering drawingSupport vector machineMechanical engineeringAcousticsPhysicsOperating systemAdvanced machining processes and optimizationAdvanced Machining and Optimization TechniquesTunneling and Rock Mechanics
CNN-based in situ tool wear detection: A study on model training and data augmentation in turning inserts | Litcius