Eventos Anais de eventos
COBEF 2021
11th Brazilian Congress on Manufacturing Engineering
Utilização de algoritmos de Machine Learning para criação de modelo preditivo de falhas em máquina CNC
Submission Author:
Gianfranco Daroit Cavassin , PR
Co-Authors:
Gianfranco Daroit Cavassin, Flávia Ayumi Ushiwata, Renato Grottoli, Fernando Deschamps
Presenter: Gianfranco Daroit Cavassin
doi://10.26678/ABCM.COBEF2021.COB21-0270
Abstract
In the current manufacturing world, the role of maintenance has been receiving increasing attention while companies understand that maintenance, when well performed, can be a strategic factor to achieve corporate goals. With the present context of Industry 4.0 and the exponential amount of data extracted from production processes, the latest trends of maintenance leans towards a predictive approach, aiming at maintenance execution based on mathematical models. In this scenario, Machine Learning algorithms and methods have been emerging as a promising tool in predictive maintenance applications to prevent failures in equipment that make up production lines. This work aims to compare and further analyse four machine learning algorithms to identify failures in the machine. In the first stage, a brief presentation of the main concepts involved is made, and then, the methods and parameters used for the creation and evaluation of the models are discussed. Finally, each of the algorithms created are separately analysed and then compared in order to reach a possible solution for the prediction of failures applications in a real case of a CNC machine.
Keywords
machine learning, Manutenção preditiva, algoritmo, predição de falhas
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