Rotor Failure

Rotor failure in multirotor aerial vehicles and other rotating machinery is a critical research area focused on improving safety and reliability. Current research emphasizes developing fault-tolerant control strategies, often employing geometric control methods or passive approaches that don't require explicit fault detection, and leveraging machine learning, particularly algorithms like Random Forests, for predictive maintenance through vibration analysis. These advancements are crucial for ensuring the safe and efficient operation of UAVs in various applications and for preventing catastrophic failures in industrial rotating machinery, minimizing downtime and economic losses.