MPNet: A lightweight fault diagnosis network for rotating machinery
Author:
Funder
Tianjin Science and Technology Commission
Publisher
Elsevier BV
Reference48 articles.
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4. C-ECAFormer: A new lightweight fault diagnosis framework towards heavy noise and small samples;Wang;Eng. Appl. Artif. Intell.,2023
5. Highly Efficient Fault Diagnosis of Rotating Machinery Under Time-Varying Speeds Using LSISMM and Small Infrared Thermal Images;Li;IEEE Trans. Syst. Man Cybern.: Syst.,2022
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