Predictive Maintenance Using Machine Learning
Natthakarn Limprasert, Thanthiya Thimtheang, Kanyanut Wattanakul, Teerawat Sangpet, Temsiri Sapsaman · 2023
The aims of this study are to find faults in component machine before its breakdown which focus on pump and motor by using Machine learning as “classifier” and to determine the most effective algorithm that can be identify faults for machine across five different datasets that are based on predictive maintenance and enhance the model by using cross validation then compare performance of our model to previous research studied by using the accuracy and the area under the curve receiver operating characteristics (AVC_ROC) as performance evaluation metric.