Failure Prediction of Industrial Conveyor Systems Using Data-Driven Models

Abstract

This paper proposes a data-driven approach for predicting failures in industrial conveyor systems. Operational data were analyzed using intelligent prediction algorithms to identify degradation trends. The results significantly improve maintenance planning and reduce unexpected equipment downtime.