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Industrial robot health assessment method

An industrial robot and health assessment technology, which is applied in the field of intelligent robots, can solve problems such as equipment failures that cannot be detected in time, and the accuracy degradation of industrial robots, and achieve the effect of reducing the amount of data calculation, reducing complexity, and high recognition accuracy

Pending Publication Date: 2021-03-16
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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Problems solved by technology

[0003] The present invention aims at problems such as the accuracy degradation of existing industrial robots or the inability to detect equipment failures in time, and proposes a health assessment method for industrial robots

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Embodiment Construction

[0053] In order to make the above objects, features and advantages of the present invention more obvious and understandable, the specific implementation methods of the present invention will be described in detail below in conjunction with the accompanying drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, the present invention can be implemented in many other ways different from those described here, and those skilled in the art can make similar improvements without departing from the connotation of the invention, so the present invention is not limited by the specific implementation disclosed below.

[0054] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this invention belongs. The terminology used herein in the description of the invention i...

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Abstract

The invention relates to the field of intelligent robots, in particular to a health assessment method for an industrial robot. Aiming at the problems that the industrial robot is accidentally shut down or the product quality is reduced due to the fact that the precision of the industrial robot is degraded and equipment faults cannot be found in time, the health condition assessment method of the industrial robot is researched, problems are found in time, and losses are reduced. Firstly, various sensors such as a speed sensor and a temperature sensor are used for collecting data, a kernel principal component analysis (KPCA) method is used for carrying out dimension reduction processing on the collected data, then an SVM classification algorithm is used for training a sample data set, and anSVM-based industrial robot health assessment model is generated. Finally the health condition of the industrial robot is assessed in real time according to the current running state of the industrialrobot. The method has the advantages of being low in complexity, high in evaluation accuracy and the like, and real-time health condition assessment of the whole industrial robot can be achieved.

Description

technical field [0001] The invention relates to the field of intelligent robots, in particular it is a health assessment method for industrial robots. Background technique [0002] How to improve the reliability of production equipment and the safety of the production process is a key issue that intelligent manufacturing systems need to focus on solving. Industrial robots are one of the most representative devices in intelligent manufacturing systems. During their operation, problems such as performance degradation, health decline, component wear, and increased operating risks will have a huge negative impact on the safe production and economic benefits of enterprises. . Early detection of potential safety hazards of industrial robots, real-time analysis and diagnosis, and rapid formulation of maintenance plans are of great significance and practical value for enterprises to improve maintenance levels, reduce failure rates, and ensure smooth operation of production lines. ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G01D21/02
CPCG01D21/02G06F18/2135G06F18/2411
Inventor 李琳李志海吴镇炜
Owner SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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