用于双三相永磁同步电机开路故障可信诊断的谐波感知双分支可解释神经网络

Data-driven fault diagnosis models for power-electronic systems have gained significant attention in industrial applications, particularly for dual-three-phase permanent magnet synchronous motor (DTP-PMSM) systems with numerous switching devices. However, robustness, reliability, and interpretability remain key challenges for neural network-based methods. This study first analyzes the impact of op...