MPINet: Multiscale Physics-Informed Network for Bearing Fault Diagnosis With Small Samples

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DOI:10.1109/TII.2024.3452174
作者：Chao Gao;Zikai Wang;Yongjin Guo;Hongdong Wang;Hong Yi
文献类型：期刊论文
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Institute of Electrical and Electronics Engineers (IEEE)

Abstract：Deep learning is increasingly prevalent in the bearing fault diagnosis, while the deficiency of fault samples could diminish the diagnostic efficacy of data-driven models that depend on exte

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