Tüpraş is involved in PIANiSM project by providing the data of critical rotating equipment in refinery operation as a use case. The equipment is monitored using sensors that generate measurements. The aim is to predict the types of failures in the equipment before they occur. Historical sensor data and maintenance records are analyzed, processed and modeled using machine learning algorithms. The results will prevent any unscheduled downtime (production loss) and allow maintenance team to replace the equipment with a standby one and to plan maintenance activities.