A Novel Methodology for the Characterization of Cutting Conditions in Turning Processes Using Machine Learning Models and Acoustic Emission Signals

Telmo Fernández de Barrena, Juan Luis Ferrando, Ander García, Pedro José Arrazola, José Manuel Abete, Diego Herrero. A Novel Methodology for the Characterization of Cutting Conditions in Turning Processes Using Machine Learning Models and Acoustic Emission Signals. In Hugo Sanjurjo-González, Iker Pastor-López, Pablo García Bringas, Héctor Quintián, Emilio Corchado, editors, 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2021, Bilbao, Spain, 22-24 September, 2021. Volume 1401 of Advances in Intelligent Systems and Computing, pages 556-566, Springer, 2021. [doi]

Abstract

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