基于轻量级多源信息数据层融合的永磁同步电机系统故障诊断改进方法

Fault diagnosis is essential for the safe operation of a permanent magnet synchronous machine (PMSM) system. At present, the fault diagnosis method based on deep learning has been gradually studied due to its ability to automatically extract fault features and an end-to-end diagnostic model. However, this method often uses a single-source signal, resulting in poor fault diagnosis performance. On t...