• Title/Summary/Keyword: MT(Mahalanobis Taguchi)

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Predictive Maintenance of the Robot Trouble Using the Machine Learning Method (Machine Learning기법을 이용한 Robot 이상 예지 보전)

  • Choi, Jae Sung
    • Journal of the Semiconductor & Display Technology
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    • v.19 no.1
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    • pp.1-5
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    • 2020
  • In this paper, a predictive maintenance of the robot trouble using the machine learning method, so called MT(Mahalanobis Taguchi), was studied. Especially, 'MD(Mahalanobis Distance)' was used to compare the robot arm motion difference between before the maintenance(bearing change) and after the maintenance. 6-axies vibration sensor was used to detect the vibration sensing during the motion of the robot arm. The results of the comparison, MD value of the arm motions of the after the maintenance(bearing change) was much lower and stable compared to MD value of the arm motions of the before the maintenance. MD value well distinguished the fine difference of the arm vibration of the robot. The superior performance of the MT method applied to the prediction of the robot trouble was verified by this experiments.