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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.

Category

Academic article

Language

English

Author(s)

Affiliation

  • Norwegian University of Science and Technology
  • SINTEF Manufacturing
  • Ireland
  • Waterford Institute of Technology

Year

2016

Published in

Procedia CIRP

ISSN

2212-8271

Publisher

Elsevier

Volume

41

Page(s)

933 - 938

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