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Pei-Chen Yang

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Open access Aug 2026

A lightweight mechanical fault diagnosis framework based on dynamic separable convolution and broadcast self-attention

To address issues such as the large number of parameters, high computational complexity, and inadequate real-time performance in existing CNN-Transformer hybrid fault diagnosis models, we propose a lightweight fault diagnosis framework, LWConvFormer. This framework comprises two core innovative modules: a dynamic separ...

Pei-Chen Yang, Yizhe Song, Tian-Tong Zhang · 0 citations

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