Machine learning framework targets fault detection in autonomous VTOL aircraft
A new arXiv paper presents a machine learning approach for detecting, isolating, and estimating the severity of faults in autonomous vertical take-off and landing aircraft. The work is motivated by the risk that small component degradations can quickly destabilize multirotor vehicles in safety-critical settings. It aims to provide more robust fault detection and estimation than existing strategies.