基于CNN的模块化多电平变换器开路故障检测与定位的鲁棒谐波特征提取

This letter presents a novel convolutional neural network (CNN)-based methodology for robust and accurate open-circuit fault detection and submodule (SM) localization in modular multilevel converters. Instead of an end-to-end classifier, the proposed method employs the CNN as a physics-informed feature extractor to enhance a foundational theoretical model by robustly estimating switching frequency...