数字农科院2.0

Damage identification of multirotor UAV propellers via unsteady coupling association

文献类型： 外文期刊

作者： Jiang, Zihao;Ma, Ruitao;Lu, Fanghao;Zhu, Hang;Lan, Yubin;Xue, Xinyu;Zhang, Songchao;Wu, Chundu

作者机构：

关键词： Propeller;Fault detection and identification;Unsteady pressure monitoring;LSTM

期刊名称： MEASUREMENT

ISSN： 0263-2241

年卷期： 2025 年 243 卷

页码：

收录情况： SCIE（2025版） ; ; EI（2025版）

摘要： To ensure the operational safety of unmanned aerial vehicles (UAVs) and to reduce maintenance costs, realtime monitoring of their system statuses is essential. However, research on multirotor propeller fault diagnosis is limited, and no standardized methodology exists for classifying and evaluating propeller faults. This study proposes a propeller fault diagnosis method based on pressure coupling of pressure pulsation and vibration signals on the arms of multirotors. Aerodynamic models of three types of damaged propellers were established, and the pressure pulsation phenomenon caused by rotating propellers on the arms was investigated using computational fluid dynamics (CFD) methods. Subsequently, a propeller damage identification sensing system was developed, and a propeller damage identification model based on a Long Short-Term Memory (LSTM) network was constructed. The model achieved an accuracy of 96.75%, providing anew approach for improving the accuracy of propeller fault monitoring in multirotors.

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