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Open access 2026

Meta-Learning Method with Improved Relation-Distribution Module for Industrial Equipment Fault Diagnosis Using Small-Sample Acoustic Signals

: Compared to traditional machine learning and signal processing techniques, deep learning has achieved remarkable results in industrial fault diagnosis. However, the difficulty of obtaining sufficient labeled fault acoustic data in real industrial environments has led to increased interest in few-shot learning methods...

Jia-Lin Li, Yi-Hong Liu, Yang Yang et al. · 0 citations
Open access Aug 2026

A gear fault diagnosis method based on neural network architecture search with cross-modal dynamic convolution enhancement

Multimodal fault diagnosis has attracted widespread attention in the field of rotating machinery due to the complementary information provided by multiple sensor signals. However, the design of signal fusion networks and the extraction of correlation features between multiple signals remain challenging. To address this...

Jialin Li, Kun Long, Yong Xiao et al. · 0 citations

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