Production monitoring system design and implementation
作者: Tanel EiskopAleksei SnatkinKristo KarjustErnst Tungel
作者单位: 1Department of Mechanical and Industrial Engineering, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia; Corresponding author, taneleiskop@gmail.com
2JELD-WEN Eesti AS, Arkna tee 1, 44317 Rakvere, Estonia
3Department of Mechanical and Industrial Engineering, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia
4Tartu College, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia
刊名: Proceedings of the Estonian Academy of Sciences, 2017, Vol.67 (1), pp.10-16
来源数据库: Estonian Academy Publishers Journal Database
DOI: 10.3176/proc.2017.4.02
关键词: Production monitoring systemTool life modellingANN.
原始语种摘要: The aim of the current study was to develop a highly flexible and scalable modular real-time monitoring system with predictive capabilities. The main focus was on forecasting tool/component life-span. A two-stage model is proposed for predicting tool life-span. Based on real-time monitoring data a back-propagation artificial neural network model was developed and validated. The obtained response surfaces for vibrations, current, and temperature are utilized in an analytical tool wear forecast model.
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关键词翻译
关键词翻译
  • monitoring 监视
  • system 
  • implementation 执行
  • forecast 预报
  • develop 发展
  • design 设计
  • modelling 模型制造
  • proposed 建议的
  • ANN All Numeral Numbering
  • component 成分