The invention discloses an AE-GCN-based unmanned aerial vehicle system fault diagnosis method and equipment, belongs to the technical field of unmanned aerial vehicle fault diagnosis, and is used for solving the technical problems that an existing unmanned aerial vehicle fault diagnosis method depends on expert experience and feature engineering and has the defects of low efficiency, poor generalization ability and the like. The method comprises the following steps: constructing a corresponding structure topological graph based on a topological structure of a target unmanned aerial vehicle, and obtaining a topological matrix; performing node feature extraction on the structure topological graph to obtain a node feature vector; inputting the topological matrix and the node feature vector into a graph convolution neural network for graph convolution operation to obtain a node state feature vector; inputting the data into an attention mechanism module to obtain attention features, and mapping the attention features into node state updating parameters; comparing the node state updating parameter with the node state historical parameter, and positioning a fault node and a fault type; and predicting a fault propagation path based on other nodes directly connected with the fault node in the structural topological graph.
本发明公开了一种基于AE‑GCN的无人机系统故障诊断方法及设备,属于无人机故障诊断技术领域,用于解决现有的无人机故障诊断方法依赖于专家经验和特征工程,存在效率低、泛化能力差等缺点的技术问题。方法包括:基于目标无人机的拓扑结构构建对应的结构拓扑图并获取拓扑矩阵;对结构拓扑图进行节点特征提取得到节点特征向量;将拓扑矩阵以及节点特征向量输入图卷积神经网络中进行图卷积操作,得到节点状态特征向量;并输入注意力机制模块,得到注意力特征,映射为节点状态更新参数;将节点状态更新参数与节点状态历史参数进行比较,定位故障节点及故障类型;基于结构拓扑图中与故障节点直接连接的其他节点,预测故障传播路径。
Unmanned aerial vehicle system fault diagnosis method and equipment based on AE-GCN
一种基于AE-GCN的无人机系统故障诊断方法及设备
2024-12-27
Patent
Electronic Resource
Chinese
IPC: | B64F GROUND OR AIRCRAFT-CARRIER-DECK INSTALLATIONS SPECIALLY ADAPTED FOR USE IN CONNECTION WITH AIRCRAFT , Boden- oder Flugzeugträgerdeckeinrichtungen besonders ausgebildet für die Verwendung in Verbindung mit Luftfahrzeugen / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
European Patent Office | 2020
|European Patent Office | 2021
|European Patent Office | 2020
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