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Machine tool spindle health monitoring method and system based on artificial intelligence

A technology of health monitoring and machine tool spindles, which is applied in manufacturing computing systems, computer parts, character and pattern recognition, etc., can solve the problems of scrapped processed products, affecting processing quality, and not being able to know the health status of machine tool spindles in time, so as to prevent The effect of scrapping

Pending Publication Date: 2021-11-09
深圳市今日标准精密机器有限公司
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0003] The machine tool spindle is the core component with the most complex structure and the highest failure rate on the machine tool. Once the spindle fails, it will directly affect the processing quality
The existing health evaluation and inspection and maintenance of the machine tool spindle are basically carried out after the machining is completed and when the machine tool spindle is not in working condition. It is impossible to monitor the health of the machine tool spindle while the machine tool spindle is working, so it is impossible to understand The health status of the machine tool spindle can easily cause the machine tool spindle to keep working when the health status is unqualified, causing a large number of processed products to be scrapped

Method used

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  • Machine tool spindle health monitoring method and system based on artificial intelligence
  • Machine tool spindle health monitoring method and system based on artificial intelligence
  • Machine tool spindle health monitoring method and system based on artificial intelligence

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Embodiment Construction

[0065] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0066] It can be understood that in the prior art, the health evaluation and inspection and maintenance of the machine tool spindle are basically carried out after the machining is completed and when the machine tool spindle is not in working condition, and the machine tool spindle cannot be repaired while the machine tool spindle is working. Health monitoring, so that it is impossible to know the health status of the machine tool spindle in time, it is easy to cause the machine tool spindle to keep working when the health status is unqualified, causing a large number of processed products to be scr...

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Abstract

The embodiment of the invention relates to the technical field of machine tool health monitoring, and particularly discloses a machine tool spindle health monitoring method and system based on artificial intelligence. According to the embodiment of the invention, the method includes setting a health monitoring period; collecting a vibration signal, a current signal, a displacement signal and a temperature signal, and respectively generating a mechanical fault evaluation value, a tool wear evaluation value, a machining precision evaluation value and a working temperature evaluation value; and generating a spindle health evaluation value according to the mechanical fault evaluation value, the tool wear evaluation value, the machining precision evaluation value and the working temperature evaluation value. According to the invention, a vibration signal, a current signal, a displacement signal and a temperature signal of the machine tool spindle can be periodically acquired; real-time evaluation is carried out on mechanical faults, tool abrasion, machining precision and working temperature; and a spindle health evaluation value is generated, so that a worker can conveniently check the health state of the machine tool spindle in real time. The machine tool spindle is prevented from still working when the health state is not qualified, and therefore a large number of machined products are prevented from being scrapped.

Description

technical field [0001] The invention belongs to the technical field of machine tool health monitoring, and in particular relates to an artificial intelligence-based method and system for health monitoring of a machine tool spindle. Background technique [0002] CNC machine tools are the "working machine" of the manufacturing industry, and their technical level is a symbol of a country's industrial level and comprehensive national strength. The machine tool spindle refers to the axis on the machine tool that drives the workpiece or tool to rotate. The main shaft part is usually composed of the main shaft, bearings and transmission parts. In the machine, it is mainly used to support transmission parts such as gears and pulleys, to transmit motion and torque, such as machine tool spindles; some are used to clamp workpieces, such as mandrels. Except for machine tools whose main motion is linear motion, such as planers and broaching machines, most machine tools have spindle com...

Claims

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Application Information

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IPC IPC(8): G06K9/00G01D21/02G06Q10/06G06Q50/04
CPCG01D21/02G06Q10/06393G06Q50/04G06F2218/04Y02P90/30
Inventor 伍双诚王昊李晨阳曹平志王长青
Owner 深圳市今日标准精密机器有限公司
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