Remaining useful life prognostics of bearings based on convolution attention networks and enhanced transformer

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Metrics

11

Citations

51

References

Details

Published: Oct 01, 2024
Vol/Issue: 10(19)
Pages: e38317
License: View

Authors

Shandong Technology Centre of Nanodevices and Integration, School of Microelectronics, Shandong University, Jinan 250101, China

School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

Funding

National Natural Science Foundation of China Award: 42275156

Cite This Article

Ning Sun, Jiahui Tang, Xiaoling Ye, et al. (2024). Remaining useful life prognostics of bearings based on convolution attention networks and enhanced transformer. Heliyon, 10(19), e38317. https://doi.org/10.1016/j.heliyon.2024.e38317

Remaining useful life prognostics of bearings based on convolution attention networks and enhanced transformer

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