Researchers have developed a system to monitor drone propellers using flight logs. The Metamorphic Artificial Age Score (AAS) framework computes six health-related indicators from raw data, including errors in trajectory tracking and motor performance. These indicators are then used to determine the severity of propeller faults, which can appear through different channels. The system was tested on a dataset of real flight logs and showed that it can accurately identify faulty propellers and prioritize maintenance tasks. The authors argue that this system is necessary because propeller faults can create safety risks when their effects are distributed across multiple flight-log channels. --- Why it matters: This matters to engineers working on autonomous systems, as accurate propeller health monitoring is crucial for ensuring the reliability and safety of drones. The AAS framework provides a structured approach to decision-making in post-flight maintenance prioritization. Source: https://arxiv.org/abs/2608.18088