Integrated real-time Monitoring and Predictive Maintenance Services for Mining Assets

The presentation will discuss novel data-driven analytics approaches for an integrated real-time monitoring system of large mining assets and their high-voltage power supply cables. This approach allows the early detection of anomalies, the identification of sub-optimal operational modi of the machines, the prediction of upcoming damages, and a remaining lifetime estimation of critical components. This way, mining operators can increase the lifetime and uptime of their assets and reduce costly, unscheduled failures of critical components.