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Physics-data coupled transfer learning for rolling bearing fault diagnosis under variable conditions

Jian-Liang Sun Zhi-Cong Han Chao Ma Yun-Fei Liu Yi-Fan Zheng Bo-Wen Hu
Sep 2026 · Journal of the Brazilian Society of Mechanical Sciences and Engineering · Vol 48 · 0 citations · 45 references

TL;DR

A novel cross-domain diagnosis method that deeply integrates dynamic mechanism modeling with conditional generative adversarial networks and synergizes physical interpretability with data adaptability is proposed, offering a robust solution for scenarios with limited samples and significant domain shifts.

DOI Semantic Scholar
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