Predicting Forced Blower Failures Using Machine Learning Algorithms and Vibration Data for Effective Maintenance Strategies

This study aims to establish a relationship between machine failures caused by vibration and the prediction of both healthy and faulty bearings using the machine learning approaches and indicates that the XGBoost algorithm outperforms other approaches with an MCC of 0.800 and a higher area under the ROC curve.