RPI ID: 2022-019-301, 2022-019-401
Innovation Summary: This system introduces an online fault diagnosis platform for multicopter rotor systems, enabling real-time detection of rotor anomalies during flight. It utilizes sensor data and diagnostic algorithms to monitor rotor performance and identify faults without interrupting operation. The system is designed to enhance safety and reliability in unmanned aerial vehicles (UAVs) by providing continuous health monitoring. Integration with onboard control systems allows for adaptive response to detected faults.
Challenges / Opportunities: Rotor faults in multicopters can lead to catastrophic failure, especially in autonomous or mission-critical applications. Traditional fault detection methods often rely on offline analysis or post-flight inspection. This innovation enables in-flight fault detection, offering opportunities for improved UAV reliability, reduced maintenance costs, and safer operation in urban or remote environments. It is particularly valuable for logistics, surveillance, and emergency response drones.
Key Benefits / Advantages: ✔ Real-time rotor fault detection ✔ Continuous health monitoring during flight ✔ Enhanced UAV safety and reliability ✔ Reduced downtime and maintenance costs ✔ Compatible with autonomous flight systems
Applications: • Unmanned aerial vehicles (UAVs) and drone fleets
Keywords: #UAV #rotorfaultdiagnosis #multicopter #reliabilityengineering #dronesafety #aerosystems
Intellectual Property: PCT/US2022/045498 – Filed 03-Oct-2022, US Application No. 18/715809 – Published, filed 03-Jun-2024