Hob state intelligent monitoring method of numerical control hobbing machine

Abstract

The invention discloses a hob state intelligent monitoring method of a numerical control hobbing machine. The method comprises the following steps that S1, B-axis vibration signals are collected in real time; S2, data segmentation is conducted on the B-axis vibration signals; S3, a hob state standard sample set X is constructed, and a simple initial feature vector f0 is extracted; S4, a hob statemutual K neighbor graph G is constructed, and feature selection is carried out to form a sample feature vector f; and S5, a hob state feature matrix F is constructed, a fuzzy similarity relation matrix R is built, a transmission closure t(R) is constructed and clustering analysis is carried out, and hob state recognition is realized. According to the method, the hob state mutual k neighbor graph is constructed, main shaft vibration signal processing of the numerical control hobbing machine is combined with an atlas theory, on-line real-time monitoring of the hob state can be realized, so thatthe hob replacement and the blade grinding can be carried out in time, expansion cracks and hob teeth fractures are avoided, the dependence on professional skills of operators can be reduced, and theintelligent process of the numerical control hobbing machine can be promoted.

Description

technical field [0001] The invention relates to a method for intelligently monitoring the state of a cutter, in particular to a method for intelligently monitoring the state of a hob for a numerically controlled gear hobbing machine. Background technique [0002] With the advancement of the fourth industrial revolution led by intelligent manufacturing, CNC machine tools are also developing in the direction of precision, high speed, high efficiency, and intelligence. Tool condition monitoring has become the main breakthrough direction for CNC machine tool manufacturers. Existing research shows that tool condition monitoring can improve processing efficiency by 10%-60%, reduce downtime failure rate by 75%, increase machine tool utilization rate by more than 50%, and can effectively avoid workpiece scrapping and machine tool failure caused by tool failure, saving costs More than 30%. Therefore, tool condition monitoring technology is of great significance to ensure workpiece q...

AI Technical Summary

Problems solved by technology

[0004] In view of this, the purpose of the present invention is to provide a method for intelligently monitoring the hob state of a CNC gear hobbing machine, which realizes the real-time monitoring of the hob state through the vibration signal characteristics of the B axis (main shaft) in the hob hobbing cycle, and can automatically Identify the wear state of the hob to solve the deficiencies in the prior art of manually checking the state of the hob based on experience

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