Automatic Identification of Tool Wear Based on Thermography and a Convolutional Neural Network during the Turning Process

This article presents a control system for a cutting tool condition supervision, which recognises tool wear automatically during turning. We used an infrared camera for process control, which—unlike common cameras—captures the thermographic state, in addition to the visual state of the process. Desp...

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Bibliographic Details
Main Authors: Nika Brili, Mirko Ficko, Simon Klančnik
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/5/1917