Semiconductor Optoelectronics, Volume. 44, Issue 4, 621(2023)
Digital-Twin-Enhanced Domain Adaptation Method for Spacecraft Remainders Detection
[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.
[11] [11] Rosen R, Wichert G V, Lo G, et al. About the importance of autonomy and digital twins for the future of manufacturing[J]. IFAC-PapersOnLine, 2015, 48(3): 567-572.
[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.
Get Citation
Copy Citation Text
WANG Yuchen, SUN Shengli, MA Yijun. Digital-Twin-Enhanced Domain Adaptation Method for Spacecraft Remainders Detection[J]. Semiconductor Optoelectronics, 2023, 44(4): 621
Category:
Received: Feb. 8, 2023
Accepted: --
Published Online: Nov. 26, 2023
The Author Email: SUN Shengli (palm_sum@mail.sitp.ac.cn)