Semiconductor Optoelectronics, Volume. 44, Issue 4, 621(2023)

Digital-Twin-Enhanced Domain Adaptation Method for Spacecraft Remainders Detection

WANG Yuchen1...2,3,4, SUN Shengli1,2,*, and MA Yijun12 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(10)

    [3] [3] Zhang W, Deng L, Zhang L, et al. A survey on negative transfer[J]. IEEE/CAA J. Automatica Sinica,2023,10(2):305-329.

    [9] [9] Hu W, He Y, Liu Z, et al. Towards a digital twin: time series prediction based on a hybrid ensemble empirical mode decomposition and BO-LSTM neural networks[J]. J. of Mechanical Design, 2020, 143(5): 1-51.

    [10] [10] Tao F, Zhang M, Liu Y, et al. Digital twin driven prognostics and health management for complex equipment[J]. Cirp Annals, 2018:67(1):169-172.

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    [14] [14] Weyer S, Meyer T, Ohmer M, et al. Future modeling and simulation of CPS-based factories: An example from the automotive industry[J]. IFAC-PapersOnLine, 2016, 49(31): 97-102.

    [15] [15] Tao F, Cheng J, Qi Q, et al. Digital twin-driven product design, manufacturing and service with big data[J]. The Inter. J. of Adv. Manufacturing Technol., 2018, 94: 3563-3576.

    [16] [16] Pan S J, Tsang I W, Kwok J T, et al. Domain adaptation via transfer component analysis[J]. IEEE Trans. on Neural Networks, 2011, 22(2): 199-210.

    [17] [17] Zhou X, Sbarufatti C, Giglio M, et al. A fuzzy-set-based joint distribution adaptation method for regression and its application to online damage quantification for structural digital twin[J]. Mechanical Systems and Signal Processing, 2023, 191:110164.

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    WANG Yuchen, SUN Shengli, MA Yijun. Digital-Twin-Enhanced Domain Adaptation Method for Spacecraft Remainders Detection[J]. Semiconductor Optoelectronics, 2023, 44(4): 621

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    Paper Information

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    Received: Feb. 8, 2023

    Accepted: --

    Published Online: Nov. 26, 2023

    The Author Email: SUN Shengli (palm_sum@mail.sitp.ac.cn)

    DOI:10.16818/j.issn1001-5868.2023020801

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