重庆大学秦岩-- X. Zhang, Y. Qin*, C. Yuen (IEEE Fellow), et al. Time-series regeneration with convolutional recurrent generative adversarial network for remaining useful life estimation. IEEE Transactions on Industrial Informatics. vol. 17, no. 10, pp. 6820-6831, 2021.

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学术成果（期刊*代表通讯作者）

X. Zhang, Y. Qin*, C. Yuen (IEEE Fellow), et al. Time-series regeneration with convolutional recurrent generative adversarial network for remaining useful life estimation. IEEE Transactions on Industrial Informatics. vol. 17, no. 10, pp. 6820-6831, 2021.

发布时间：2023-03-23 点击次数：

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上一条：Y. Qin, A. Auran, C. Yuen* (IEEE Fellow). Digital twin for real-time Li-ion battery state of health estimation with partially discharged cycling data. IEEE Transactions on Industrial Informatics (Early Access), pp. 1-11., DOI: 10.1109/TII.2022.3230698, 2022. 下一条：Y. Qin*, S. Adams, and C. Yuen (IEEE Fellow). A transfer learning-based state of charge estimation for Lithium-ion battery at varying ambient temperatures. IEEE Transactions on Industrial Informatics. vol. 17, no. 11, pp. 7304-7315, 2021.

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