Numerical control machine tool spindle fault diagnosis method and system

Abstract

The invention discloses a numerical control machine tool spindle fault diagnosis method and system. The method comprises the steps of acquiring different state signals of a numerical control machine tool spindle; conducting window interception analysis on the state signals and extracting a fractal dimension of signal features to obtain feature values of the states of the numerical control machinetool spindle; establishing a fault diagnosis model by using the state features subjected to preprocessing and feature extraction as a training sample set of a BP neural network; conducting fault diagnosis on the numerical control machine tool spindle according to the fault diagnosis model. The system comprises a sensor, a preprocessing and feature extraction unit, a fault diagnosis model establishment unit and a fault diagnosis unit. Through the numerical control machine tool spindle fault diagnosis method and system, intelligent fault diagnosis on the numerical control machine tool spindle isachieved, so that the fault rate of the machine tool spindle is reduced, and economic benefits are increased.

Description

technical field [0001] The invention relates to the field of fault diagnosis, in particular to a method and system for fault diagnosis of a CNC machine tool spindle. Background technique [0002] The main shaft is an important core component of CNC machine tools. It supports and drives the workpiece or tool to complete the surface forming movement. plays an important role. Under the working conditions of high speed, high acceleration and heavy load, factors such as vibration and shock often have a significant impact on the spindle system of the machine tool, and easily lead to failures of bearings and gears. If the fault diagnosis and maintenance cannot be performed in a timely and correct manner, It will directly affect the processing accuracy of the workpiece, tool life and processing efficiency, and even cause unexpected shutdown of the machine tool, shortened life span or even scrapping, resulting in huge economic losses. Therefore, it is necessary to find a fault diag...

AI Technical Summary

Problems solved by technology

This diagnosis method is more about a diagnosis method based on a physical model. In actual situations, it is difficult to establish an accurate physical model, and the impact on the uncertainty, time-varying and interference of the system structure and parameters is unpredictable, which will lead to serious problems. Affects the fault diagnosis performance of the model

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