Nonlinear time-series modeling of feed drive system based on motion states classification
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DOI: 10.1007/s10845-020-01546-5
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References listed on IDEAS
- Congbo Li & Lingling Li & Ying Tang & Yantao Zhu & Li Li, 2019. "A comprehensive approach to parameters optimization of energy-aware CNC milling," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 123-138, January.
- G. Shao & A. Brodsky & R. Miller, 2018. "Modeling and optimization of manufacturing process performance using Modelica graphical representation and process analytics formalism," Journal of Intelligent Manufacturing, Springer, vol. 29(6), pages 1287-1301, August.
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Cited by:
- Chi Ma & Hongquan Gui & Jialan Liu, 2023. "Self learning-empowered thermal error control method of precision machine tools based on digital twin," Journal of Intelligent Manufacturing, Springer, vol. 34(2), pages 695-717, February.
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Keywords
Feed drive system; Motion states classification; NAR-LSTM network; Time-series modeling; Prediction;All these keywords.
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