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Machine tool health state real-time evaluation method and system

A technology of health status and evaluation method, applied in the field of machine tool failure early warning and health assurance, can solve problems such as poor anti-interference ability and poor machine tool physical examination results, and achieve the effect of improving accuracy and reliability

Active Publication Date: 2021-08-10
HUAZHONG UNIV OF SCI & TECH
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  • Application Information

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Problems solved by technology

However, the special G-code physical examination mode is easily affected by machine parameters and servo parameters. When the dynamic characteristics of the machine tool change, the machine tool physical examination results will deteriorate and the anti-interference ability will be poor.

Method used

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  • Machine tool health state real-time evaluation method and system
  • Machine tool health state real-time evaluation method and system
  • Machine tool health state real-time evaluation method and system

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specific Embodiment

[0054] The health status evaluation of the spindle in the HNC8 CNC system includes the following steps:

[0055] S1. Run the processing G code, and the CNC system collects the electronic control data of the machine tool spindle in the non-cutting process through the fixed-point sampling method according to the configured self-test i command as a steady-state sample;

[0056] S2. Extract characteristic indicators in the steady-state samples (taking a certain sampling point as an example), as shown in Table 1:

[0057] Table 1

[0058]

[0059] Express the result in vector form, that is, the feature index X h =(0.9995,21.4,12.8,1004,21);

[0060] S3. Since some characteristic indicators are affected by servo control parameters, de-parameterization is required to eliminate the influence. For example, the spindle speed change rate of the spindle servo parameter of the machine tool is a=2000r / (min*s). According to the formula to remove the working condition, get the character...

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Abstract

The invention belongs to the field of machine tool fault early warning and health guarantee, and discloses a machine tool health state real-time evaluation method and system. The method comprises the following steps of: S1, collecting the electric control data of a non-cutting process as a steady-state sample in the operation process of a machine tool; and S2, extracting a feature index from the steady-state sample, obtaining a machine tool health index according to the feature index and an ideal index in a health state, and evaluating the health state of the machine tool according to the machine tool health index. In order to eliminate the influence of dynamic characteristics on the health state of the machine tool, the non-cutting process data is taken as the sample for analyzing the health state of the machine tool, and the non-cutting process data has relatively high consistency and can be used for reflecting the advantages and disadvantages of machining actions of machine tool parts so as to evaluate the health state of the machine tool; and the accuracy and reliability of machine tool health state evaluation are improved.

Description

technical field [0001] The invention belongs to the field of machine tool failure early warning and health protection, and more specifically relates to a method and system for real-time evaluation of machine tool health status. Background technique [0002] In the field of equipment failure early warning and health protection, the health protection of machine tools is an important measure for the efficient production of machine tools. The stoppage of production of CNC machine tools due to failures or the decline in processing quality due to performance degradation will bring certain economic losses, and may even cause safety production accidents due to machine tool failures. Therefore, the machine tool equipment in the factory needs to carry out health protection related work to reduce the probability of machine tool failure and ensure efficient production. At present, the health protection methods of machine tools mainly include the following: [0003] The first is post-f...

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Application Information

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IPC IPC(8): G05B19/4065
CPCG05B19/4065G05B2219/37616
Inventor 周浩杨建中周会成向华周谋
Owner HUAZHONG UNIV OF SCI & TECH