Incremental transfer learning for robot drilling state monitoring under multiple working conditions
Author:
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10845-024-02432-0.pdf
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4. Chen, X., Yang, R., Xue, Y., Huang, M., Ferrero, R., & Wang, Z. (2023). Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016. IEEE Transactions on Instrumentation and Measurement, 72, 1–21. https://doi.org/10.1109/TIM.2023.3244237. Conference Name: IEEE Transactions on Instrumentation and Measurement.
5. Chen, Q., Zhang, C., Hu, T., Zhou, Y., Ni, H., & Wang, T. (2021). Online chatter detection in robotic machining based on adaptive variational mode decomposition. The International Journal of Advanced Manufacturing Technology, 117, 555–577. https://doi.org/10.1007/s00170-021-07769-x
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