一种针对低质量数据下三相逆变器功率开关开路故障诊断的鲁棒数据驱动方法

Machine learning (ML) techniques have shown great potential for power converter fault diagnosis. However, the data measured by the diagnostic processor may be corrupted in real-world applications, which would degrade the performance of ML-based diagnostic models. This article proposed a robust data-driven method for power switch open-circuit fault diagnosis under low-quality data issues with missi...