A MLSTM–FCN+SEB Based Open Circuit Fault Diagnosis Method for Power Inverter

Inverters are crucial for maintaining stability of modern power systems. Although a few circuit-based methods could realize open-circuit fault diagnosis, but data-driven methods based on AI still remain promising for more accurate diagnosis performance. In this article, an MLSTM-FCN+SEB based fault diagnosis method for power inverters is put forward. Firstly, an AI-based fault diagnosis model called MLSTM–FCN+SEB is proposed for diagnosing open-circuit faults in power inverters. Experimental results show that the proposed method can effectively diagnose 22 types of open-circuit faults. Besides, a comparison with other models shows that the proposed model has high accuracy.