Predictive Maintenance

Predictive maintenance uses sensor data and analytics to forecast when a component will fail and to schedule intervention just before it does, replacing fixed-interval overhauls and run-to-failure. On ships it draws on engine health monitoring, vibration and oil analysis, and shaft-power data fed into asset-performance platforms or a digital twin. The payoff is fewer unplanned breakdowns and lower spares and downtime cost, set against the connectivity, sensor, and data-governance investment it requires.