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Abnormal fault intelligent diagnosis method based on robot operation

A technology of intelligent diagnosis and robotics, applied in manipulators, manufacturing tools, etc., can solve the problems of high requirements for maintenance personnel and long time-consuming diagnosis, and achieve the effects of improving diagnostic accuracy, high intelligence, and improving fault diagnosis efficiency

Inactive Publication Date: 2021-04-20
STATE GRID ZHEJIANG ELECTRIC POWER CO LTD JINHUA POWER SUPPLY CO
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The traditional robot fault diagnosis mode is to diagnose several major categories, and then combine manual subdivision detection to determine the fault location, which requires high maintenance personnel and takes a long time to diagnose

Method used

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  • Abnormal fault intelligent diagnosis method based on robot operation

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Embodiment Construction

[0015] In order to make the structure and advantages of the present application clearer, the structure of the present application will be further described below in conjunction with the accompanying drawings.

[0016] The embodiment of this application proposes an intelligent diagnosis method for abnormal faults based on robot operation, such as figure 1 shown, including:

[0017] 11. Obtain the working data of the robot.

[0018] 12. Build alarm information association analysis rules and signal data cleaning rules.

[0019] 13. Carry out alarm information association analysis and processing on the working data based on the alarm information association analysis rules.

[0020] 14. Carry out signal data cleaning processing based on signal data cleaning rules.

[0021] The alarm information correlation analysis includes auxiliary signal correlation operation, accident alarm analysis, abnormal alarm analysis, limit violation alarm analysis and displacement alarm analysis;

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Abstract

The embodiment of the invention provides an abnormal fault intelligent diagnosis method based on robot operation. The method comprises the steps of obtaining working data of a robot; constructing an alarm information association analysis rule and a signal data cleaning rule; performing alarm information association analysis processing on the working data on the basis of the alarm information association analysis rule; and performing signal data cleaning processing on the basis of the signal data cleaning rule. Layer-by-layer detection and layered screening are realized by performing multiple subdivision on the alarm information, so that the fault position is quickly determined, the intelligent degree is high, the fault diagnosis time is greatly saved, the fault diagnosis efficiency is improved, and meanwhile, the diagnosis accuracy is improved.

Description

technical field [0001] The present application relates to the technical field of robot fault diagnosis, in particular to an intelligent diagnosis method for abnormal faults based on robot operation. Background technique [0002] The traditional robot fault diagnosis mode is to diagnose several major categories, and then combine manual subdivision detection to determine the fault location, which requires high maintenance personnel and takes a long time to diagnose. Contents of the invention [0003] The purpose of this application is to solve the shortcomings in the prior art, and propose an intelligent diagnosis method for abnormal faults based on robot operation, including alarm information correlation analysis and signal data cleaning rules, and the alarm information correlation analysis includes auxiliary signal correlation operations , accident alarm analysis, abnormal alarm analysis, over-limit alarm analysis and displacement alarm analysis, the signal data cleaning r...

Claims

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Application Information

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IPC IPC(8): B25J19/00
Inventor 崔建业李有春徐奇锋马翔朱英伟倪秋龙朱炳铨黄健谷炜支月媚吕磊炎杜浩良杨靖萍童存智宋昕张小聪方璇沈曦吴烨沈绍斐董立苏宜靖陈益渊赵良金啸虎尹文喆谢夏慧周海晓康龙卢航
Owner STATE GRID ZHEJIANG ELECTRIC POWER CO LTD JINHUA POWER SUPPLY CO
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