Abstract
Aiming at the problem that it is difficult to analyze the precision deterioration law of CNC machine tools by mathematical modeling, a prediction and evolution method of CNC machine tool precision degradation based on chaos evolution and deep Gated Recurrent Unit (GRU) network was proposed. The method of phase space reconstruction was proposed to reconstruct the one-dimensional historical data sequence of motion accuracy of CNC machine tools. The evolution process of motion accuracy of CNC machine tools was described by the trajectory of phase points in multi-dimensional phase space. Furthermore, the prediction model based on gating cycle network was established. By learning the temporal and spatial characteristics of the phase point trajectory, the motion accuracy degradation process was evolved and predicted by using the phase point trajectory prediction curve. The experimental results show that the prediction model based on chaotic evolution and deep GRU network can well track the degradation trend and law of motion accuracy of CNC machine tools, and has high prediction and evolution accuracy.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
