Li-Hua Lu

Transformer fault diagnosis based on hybrid feature selection and an improved differential evolution algorithm for optimizing convolutional neural networks

To effectively address the shortcomings of transformer fault diagnosis—namely, the limited variety of characteristic gases and low diagnostic accuracy—this paper proposes a novel method for transformer fault diagnosis that optimizes a convolutional neural network (CNN) using hybrid feature selection (HFS) and an improv...