Implementação de Técnica de Identificação de Alarmes de Braços Ferramentas em Centros de Usinagem de Alta Velocidade em Indústria Metal Mecânica: aplicação da Engenharia de Dados em um estudo de caso
DOI:
https://doi.org/10.22456/1983-8026.133398Keywords:
Manutenção, Indústria 4.0, Alarmes, PrediçãoAbstract
Daily we trust manufacturing in a wide range of machine tools to carry out production processes, but eventually machines fail, unless failure modes and breakdowns are predictable. Thus, maintenance engineering initiatives focused on predictive maintenance help estimate when equipment failure will occur. This prediction allows us to plan maintenance in advance, reduce cost, eliminate unplanned downtime, and maximize equipment life.
This engineering came to gain huge emphasis with Industry 4.0 practices, where the use of industrial automation technologies and especially the practices and techniques of data science, allows us to develop intelligent algorithms, which contribute to the real-time analysis of a huge amount of data and from this analysis make the decision of what to do with the equipment.
The system implemented in this work was designed exactly to identify the alarms and the health of a high-speed tool changing system of machining machines, of a combustion cylinder line of a metal mechanical industry.
In order to increase the life span of these components and reduce maintenance costs, a system capable of continuously monitoring them is needed, as well as a system capable of clearly transmitting information about what and where it will be necessary to perform some maintenance. Thus, in this project, besides having to guarantee the machine and system interface, ways of identifying failures and trend relations were elaborated, which provide the prediction of alarms. All this being reported in a panel with information and prognostics in real time, capable of facilitating the decision power in taking actions by the responsible engineers.
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