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

机译:基于人工神经网络的机床过程监控人机界面

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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.
机译:通过使用人工神经网络(ANN)进行传感器信号分析,可以省去传统的试错法进行过程监控。但是,仍然需要对人机界面(HMI)进行审查。必须就ANN机器学习做出正确的决定。始终需要能够根据经验来修改和改进监视系统。此外,问题仍然存在:监控数据是否可用于增加过程知识以及进行短期和长期分析以及决策?本文提出的工作是欧盟FP7 REALism项目的一部分。

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