Method and device for intelligent assessment of health status of machine tool feed system

Abstract

The invention discloses an intelligent evaluation method and device for the health state of a machine tool feeding system. The method includes: collecting current vibration signals of front and rear bearing seats and nut seats in the feeding system; Collect the vibration signals on the N-segment nut seat, process the collected N-segment vibration signals, extract the characteristic parameters, and obtain N frequency-shift characteristic quantities and energy-variable characteristic quantities reflecting the current state of the feed system, respectively, and calculate the two characteristics respectively. The degree of deviation between the quantity and the characteristic quantity of the normal state is obtained, and the fusion characteristic quantity of the corresponding segment is obtained through the feature level fusion, and the maximum value is selected to evaluate the health state of the screw nut pair; Signal analysis and feature extraction to achieve fault location for each part of the feeding system. The invention has the advantages of realizing active maintenance of equipment and early diagnosis of equipment failure, and reducing downtime of equipment in production line.

Description

technical field [0001] The invention relates to the technical field of numerically controlled machine tools, in particular to a method and device for intelligent assessment of the health state of a machine tool feed system and fault diagnosis. Background technique [0002] The manufacturing industry is a pillar industry for the sustained and rapid growth of my country's economy, and it is also a symbol of a country's comprehensive national strength and overall scientific and technological level. With the development of high-speed and high-precision manufacturing industry, CNC machine tools, as the key equipment of manufacturing industry, are widely used in key fields such as aviation, aerospace, ships and vehicles, and are an important cornerstone of modern industry. As an important part of CNC machine tools, the servo feed system is the core component to achieve precise movement. Its performance status has a decisive effect on the machining accuracy and production efficienc...

AI Technical Summary

Problems solved by technology

[0005] The above patents all need to be connected to the CNC system to obtain internal parameters, which has a certain delay in time and is slightly insufficient in the rapidity of real-time monitoring

At the same time, the diagnostic object is not clear enough, and when applied to different abnormal modes of the feed system, the pertinence is not enough

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