Multidimensional method and multidimensional system for identifying abnormal points of numerical control machine tool feed shaft operation file data

Abstract

The invention discloses a multidimensional method and multidimensional system for identifying abnormal points of numerical control machine tool feed shaft operation file data. The method comprises multidimensional inspection of abnormal events in a numerical control machine tool operation file, and the inspection comprises the following steps of 1, forming the multidimensional abnormal point identification method, specifically, the method comprises an extreme value abnormal point identification method, a frequent paired abnormal identification method and a general abnormal identification method; and 2, applying the multidimensional abnormal point identification method to numerical control machine tool operation file data in a certain time window, and forming a multidimensional abnormal point identification standard mode library used for real-time monitoring of the daily numerical control machine tool operation file. According to the multidimensional method and multidimensional system for identifying abnormal points of the numerical control machine tool feed shaft operation file data, the multi-angle abnormal identification method and an event signal of the numerical control machinetool operation file are combined, the capture of the abnormal events is achieved, consequently, the fault reason can be determined through the captured abnormal events, and the occurrence trend and the occurrence general condition of the abnormal events can be grasped integrally.

Description

technical field [0001] The invention relates to the field of abnormal event detection of numerically controlled machine tool operation file data, in particular to a multi-dimensional abnormal point identification method and system for numerically controlled machine tool feed shaft operation file data. Background technique [0002] The feed shaft fluctuation of CNC machine tools refers to the situation that the output speed of the feed shaft fluctuates slightly above and below the set speed due to unstable input current, structural vibration or motor quality factors during the operation of the machine tool. When the fluctuation phenomenon of the feed axis occurs, it will inevitably cause the feed speed of the machine tool table to vibrate slightly, and then cause small ripples on the surface of the workpiece to be processed, which will affect the quality of the product. [0003] In order to eliminate the influence caused by the feed shaft fluctuation and ensure product qualit...

AI Technical Summary

Problems solved by technology

However, there is still a lack of an effective means of analyzing and diagnosing the fluctuations of the feed axis of CNC machine tools, which cannot simultaneously collect external signals such as servo motor input current, servo motor photoelectric encoder output signals, and worktable vibration signals, as well as CNC servo feedback and control signals. Signals within the system, making it difficult to analyze the data comprehensively to determine the source of the fault

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