Semi-supervised source-free domain adaptation method via diffusive label propagation for rotating machinery fault diagnosis
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Elsevier BV
Reference49 articles.
1. Broad zero-shot diagnosis for rotating machinery with untrained compound faults;Ma;Reliab Eng Syst Saf,2024
2. A fine-grained feature decoupling based multi-source domain adaptation network for rotating machinery fault diagnosis;Zheng;Reliab Eng Syst Saf,2024
3. Multi-fault diagnosis of industrial rotating machines using data-driven approach: A review of two decades of research;Gawde;Eng Appl Artif Intell,2023
4. Deep transfer learning for bearing fault diagnosis: A systematic review since 2016;Chen;IEEE Trans Instrum Meas,2023
5. A survey on fault diagnosis of rolling bearings;Peng;Algorithms,2022
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