Research On Extraction Technology Of Machine Tool Health Index Based On Daily Processing Program

CNC machine tool health protection technology is one of the important technical means for enterprises to reduce production costs and enhance core competitiveness.At present,regular maintenance methods are mainly used to inspect and repair the machine tools in production,which is easy to cause waste of resources due to weak guidance.There are also studies based on fixed G codes for physical examination,using electrical data from machine tool responses to evaluate machine tool health to achieve predictive maintenance.However,it takes up the processing time of the machine tool and reduces the production efficiency.In this paper,based on daily processing procedures,the analysis of the electronic control data generated during the processing process,the selection of steady-state data for machine tool status evaluation,and the method of extracting the health index of machine tool components.The main work is summarized as follows:First,analyze a large amount of data generated during the processing of CNC machine tools,and select the steady-state data used to evaluate the health of the machine tool.Based on the G command action,the characteristics of steady-state data for evaluating the state of the machine tool are determined.Taking the machine tool spindle and feed axis as the research objects,separating its steady-state data under different working conditions,clarifying its steady-state data characteristics and boundary conditions under different command actions,and laying the foundation for separating the steady-state data and evaluating the state of the machine tool basis.Secondly,for the separation of steady-state data,the intelligent control i-code technology is used to design the i-code for the separation of steady-state data.It matches with the G code and executes synchronously to realize the marking and extraction of steadystate data under different working conditions.For the main axis and the feed axis,the specific content of the i code is designed.During the processing,the marked steady-state data is sampled in real time to achieve the real-time separation of the steady-state data.Next,the method of extracting the machine tool health index based on steady-state data is studied.According to the control method of machine tool components,combined with experimental data and correlation analysis,the working condition information is correlated with the steady-state data index to realize the selection of the steady-state data characteristic index,effectively eliminating the influence of the working condition information on the machine tool health evaluation.Based on the Chebyshev distance principle,the current state of the machine tool is quantified,and the machine tool health index is extracted.Finally,based on daily processing procedures,the health index of the feed axis is extracted.At the same time,the results of the physical examination based on the daily machining program and the spindle based on the fixed G code are compared.For the spindle,the health index extracted using daily processing procedures is close to the health index extracted based on the fixed G-code physical examination,and the maximum difference of the health index from the previous year is 0.04.The feasibility and reliability of extracting the machine tool health index based on daily machining procedures are verified.