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International Journal of Advanced Engineering, Management and Science


Study on Predictive Maintenance for Controller Failure

( Vol-8,Issue-5,May 2022 )

Author(s): In-Yeup Kong



Total View : 265
Downloads : 166
Page No: 01-05
ijaems crossref doiDOI: 10.22161/ijaems.85.1

Keywords:

Predictive maintenance, Failure Prediction, Maintenance, AI.

Abstract:

It is more important to be able to predict a failure before it occurs than to fix it after a failure. Attempts to predictive maintenance beyond reactive maintenance and preventive maintenance are increasing. This paper contains basic research to design a system that can predict controller failure before it occurs. The database related to the controller should be designed considering not only the data of the controller itself, but also the information on the operating environment, and the processing contents in the failure situation. In the latter part of the paper, data classification and analysis algorithms that can be used for failure prediction are summarized.

Article Info:

Received: 09 Apr 2022; Received in revised form: 02 May 2022; Accepted: 09 May 2022; Available online: 14 May 2022

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