重庆大学主页平台管理系统 Rocky--Home-- Y. Qin, C. Yuen* (IEEE Fellow), X. Yin, H. Biao (IEEE Fellow). A transferable multi-stage model with cycling discrepancy learning for Lithium-ion battery state of health estimation. IEEE Transactions on Industrial Informatics. vol. 19, no. 2, pp. 1933-1946, 2023.

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Pre One: Y. Qin, C. Yuen* (IEEE Fellow), Y.M. Shao, B. Qin, and X. Li. Slow-varying dynamics-assisted temporal capsule network for machinery remaining useful life estimation. IEEE Transaction on Cybernetics. vol. 53, no. 1, pp. 592-606, 2023.
Next One: C. Gamanayake, Y. Qin*, C. Yuen (IEEE Fellow), and et al. A hybrid deep learning model based remaining useful life estimation for reed relay with degradation pattern clustering. IEEE Transactions on Industrial Informatics. (Early Access), pp. 1-13, DOI: 10.1109/TII.2022.3210250, 2022.