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

Abstract

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.