Predictive maintenance using AI for Motor health prediction system
Supaporn Bundasak, Pawin Wittayasirikul · 2022 International Electrical Engineering Congress (iEECON) · 2022
Predictive maintenance using AI for Motor health prediction system (PdMA AI System) is a system developed to predict damage and lifespan of motors, which motors are responsible for converting electricity into mechanical energy for machines in the production process. PdMA AI System allows operators and maintenance personnel to be informed about damage to the motor in advance. The system's process working with a motor that has a malfunction is detected. The system will automatically notify operators and maintainers through the website. It is able to plan maintenance effectively in advance. As a result, it helps to reduce downtime of the machines that math the production process to stop, and support prolong the service life of the motor. The researchers compared test the k-nearest neighbor, logistic regression, naïve bayes and support vector machine algorithms, which found that logistic regression is suitable for all test data groups. Logistic regression algorithm was used to develop a model for predicting motor abnormalities with an accuracy of 98% of motor health forecasts.