Speaker
Edmond-Roland Volosciuc
(Technical University of Cluj-Napoca)
Description
Machine learning is being explored as a possible tool for predictive maintenance in the automotive sector. A dataset containing relevant data is being utilized to train various machine learning algorithms with the goal of predicting future breakdowns. The results suggest that this method is a successful way of estimating vehicle maintenance needs. This research is the first step in creating a real-world machine learning-based predictive maintenance system for motor vehicles. More data will be collected in the future, which will enhance the accuracy of the algorithms.
Primary author
Edmond-Roland Volosciuc
(Technical University of Cluj-Napoca)