Human-Machine Interface for Artificial Neural Network Based Machine Tool Process Monitoring

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• 作者：Kristian Martinsen^a ; ^b ; ^{Kristian.martinsen@hig.no" class="auth_mail" title="E-mail the corresponding author} ; Jonathan Downey^c ; ^d ; Ivanna Baturynska^b
• 关键词：Machine tool process monitoring ; Artificial neural network ; Human-machine interface
• 刊名：Procedia CIRP
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：41
• 期：Complete
• 页码：933-938
• 全文大小：255 K

文摘

Through the use of Artificial Neural Network (ANN) for sensor signal analysis, the traditional trial-and-error approach to process monitoring can be omitted. There is, however, still the need for a review of the Human-machine interface (HMI). Correct decisions must be made regarding ANN machine learning. There will always be a requirement to be able to modify and improve the monitoring system based on experience. Moreover, the question remains- can monitoring data be used for increased process knowledge and for both short term and long-term analysis and decision making? The work presented in this paper is a part of the EU FP7 REALISM Project.