Lipeng Wang

A fault diagnosis method for power generation rotating machinery based on small-sample augmentation and dilated residual network

The accurate diagnosis of faults in rotating machinery within power-generation systems is critically challenged by severe class imbalance and scarce fault samples, which substantially degrade the performance of conventional deep learning models. To address these challenges, this paper proposes a three-component diagnos...