Author

Lei Liu

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Sep 2026

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...

Lei Liu, Wen-Ning Zhang, Li-Hua Lu · European Conference on Elect... · 0 citations

Sep 2026

A semi-supervised learning framework for bearing fault recognition under strong noise

An improved dynamic pseudo-label learning strategy is developed, improving model generalization by involving more unlabeled data in training, and a noise reduction learning strategy based on self-supervised learning is proposed, extracting invariant features under noise conditions by a new optimization objective.

Ning Zhou, Lei Liu, Yao Cheng et al. · Structural Health Monitoring · 3 citations