Diagnostic and protection device for robot reducer and method thereof

A machine learning-based diagnostic device for robot reducers addresses malfunctions by detecting drive motor current and speed, diagnosing faults, and predicting lifespan, ensuring continuous production by protecting the drive motor.

JP7773582B2Active Publication Date: 2025-11-19HYUNDAI TRANSYS INC
View PDF 5 Cites 0 Cited by

Patent Information

Application Number
JP2024063129
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Priority Date
2023-07-21
Filing Date
2024-04-10
Publication Date
2025-11-19
Estimated Expiration
2044-04-10

AI Technical Summary

Technical Problem

Industrial robot reducers malfunction due to foreign matter mixing with lubricating oil, causing overheating and potential damage to the drive motor encoder, leading to reduced lubricating grease lifespan and requiring shutdown of all robots on the production line.

Method used

A diagnostic device and method that uses machine learning to detect drive motor current and speed, construct a learning model, diagnose faults, and predict the reducer's lifespan, providing diagnostic results to the motor driver for protective action.

Benefits of technology

The solution effectively detects abnormalities and predicts the lifespan of the robot reducer, preventing malfunctions and protecting the drive motor, thereby maintaining production continuity.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure 0007773582000001
    Figure 0007773582000001
  • Figure 0007773582000002
    Figure 0007773582000002
Patent Text Reader

Abstract

To provide an apparatus and method for evaluating a speed reducer for a robot.SOLUTION: An apparatus for evaluating a speed reducer for a robot of the present invention includes: a motor state input module configured to receive a driving state of a drive motor connected directly to a speed reducer; a storage device; a memory configured to store an executable program; and a processor operatively coupled to the motor state input module, the storage device, and the memory. Therein the processor: receives a drive current and a rotational speed from the motor state input module; establishes big data; stores the big data in the storage device; establishes a learning model for evaluating the speed reducer on the basis of the drive current and the rotational speed stored in the storage device; causes the learning model to perform machine learning; and then diagnoses abnormality of the speed reducer on the basis of the diagnosis learning model by means of the inputted drive current and the inputted rotational speed.SELECTED DRAWING: Figure 1
Need to check novelty before this filing date? Find Prior Art

Citation Information

Patent Citations

  • Industrial robot, failure detecting method thereof, and recording medium recording failure detecting program for industrial robot

    JP1999129186A

  • Machine learning device for learning failure prediction of main axis or motor driving main axis and machine learning method, and failure prediction device having machine learning device and failure prediction system

    JP2017188030A

  • Anomaly detection system, molding machine system, anomaly detection device, anomaly detection method, and computer program

    JP2022113522A

  • Load monitoring device and load monitoring method

    JP2022141526A

  • Abnormality diagnosis device and abnormality diagnosis method

    WO2020031225A1