Litcius/Paper detail

Identification of cutting tool wear condition in turning using self-organizing map trained with imbalanced data

Lucas Costa Brito, Márcio Bacci da Silva, Marcus Antônio Viana Duarte

2020Journal of Intelligent Manufacturing72 citationsDOI

Topics & Concepts

Tool wearMachiningSelf-organizing mapVibrationSupport vector machineArtificial neural networkProcess (computing)Machine toolComputer scienceArtificial intelligenceCutting toolClassifier (UML)EngineeringMachine learningPattern recognition (psychology)Mechanical engineeringPhysicsOperating systemQuantum mechanicsAdvanced machining processes and optimizationAdvanced Machining and Optimization TechniquesIndustrial Vision Systems and Defect Detection
Identification of cutting tool wear condition in turning using self-organizing map trained with imbalanced data | Litcius