author keywords: aerial robotics; deep learning; flying robots; propeller diagnosis

TL;DR: A new and comprehensive fault diagnosis framework is presented that uses only the audio caused by propeller rotation without accessing any flight data to quickly detect physical damage to propellers, recognise risky flights, and provide early warnings to surrounding human workers. (via Semantic Scholar)