Konserwacja predykcyjna
1 1 related system
Use of AI/ML models to predict failures of machines, vehicles, or infrastructure (e.g., rail rolling stock, turbines, production lines) based on IoT sensor telemetry, operational logs, and service history. Enables replacing reactive or scheduled servicing with condition-based maintenance, reducing downtime costs. Tabular and time-series foundation models (TabPFN, TabPFN-TS) and classical gradient boosting approaches are widely used in industry.
