Machine tool machining shaft abnormality detection method and system based on double-stage excitation

By constructing a shaft transmission anomaly detection model for key machining axes of CNC machine tools and combining it with a two-stage reverse test sequence, the problem of insufficient detection accuracy of minor anomalies in CNC machine tools was solved, thereby improving detection accuracy and production efficiency.

CN121763944BActive Publication Date: 2026-11-06NANTONG BAISHENG PRECISION MACHINERY
View PDF 2 Cites 0 Cited by

Patent Information

Application Number
CN202511903473.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-12-17
Publication Date
2026-11-06
Estimated Expiration
2045-12-17

Smart Images

  • Figure CN121763944B_ABST
    Figure CN121763944B_ABST
Patent Text Reader

Abstract

This application provides a method and system for detecting machine tool machining axis anomalies based on two-order excitation, relating to the field of CNC machine tool technology. The method includes: identifying the key machining axis of the CNC machine tool; constructing an axis transmission anomaly detection model; injecting a two-order reverse test sequence into the key machining axis through a controller, and recording the corresponding two-order pulse response sequence through an encoder; analyzing the pulse arrival time sequence, calculating the reverse response delay, hysteresis length, and speed transient characteristics; inputting the data into the axis transmission anomaly detection model for analysis, and outputting the backlash detection value of the key machining axis. This application solves the technical problem of insufficient machining anomaly detection accuracy in the prior art due to the difficulty in accurately detecting minute anomalies in CNC machine tools. By using a two-order reverse test sequence and an axis transmission anomaly detection model, the accuracy of CNC machine tool machining anomaly detection is improved.
Need to check novelty before this filing date? Find Prior Art

Citation Information

Patent Citations

  • Modal testing method for numerical control machine tool feed system based on built-in sensor

    CN109531270A

  • Abnormal detection method of machine tool spindle

    CN109909803A