Energy-Saving Strategy Design of CNC Machine Tools Based on TL-DBN Method
In order to improve the energy-saving performance of numerical control machine tools,a transfer learning method is designed to realize the energy-saving control process of Computer numerical control(CNC)machine tools.The energy consumption control model of discrete CNC machine tool based on Random forest(RF)was established to reduce the energy consumed in the waiting stage and promote the rapid improvement of the decision-making efficiency of the machine tool.The research results show that the time interval has a significant effect on the energy saving state of the machine tool.When the time interval is increased,the machine tool is reduced from 9 times to 6 times,and the time interval is set at 25 min.Each machine tool can achieve the energy-saving control process through the appropriate strategy in the waiting stage.The energy-saving control scheme in this paper provides a theoretical basis for the realization of production process control.
transfer learningenergy saving controlCNC machine toolsdeep belief networks
万方数据
维普
