IFT'S SERVICE ENHANCED RECOMMENDER
I-SEER is a data analysis web application for condition-based predictive maintenance (CBPM). Based on user-defined permissible risks, direct sensor data and maintenance records predict a mechanical equipment’s remaining use of life (RUL), assess individual component health, and advise maintenance schedules. Thus, improving maintenance costs by reducing preventive and corrective maintenance, and equipment downtime.