[2] B HE, K J BAI. Digital twin-based sustainable intelligent manufacturing：a review. Advances in Manufacturing, 9, 1-21(2021).

[3] J LEE, B BAGHERI, H A KAO. A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing Letters, 18-23(2015).

[7] S L BRUNTON, J NATHAN KUTZ, K MANOHAR et al. Data-driven aerospace engineering：reframing the industry with machine learning. AIAA Journal, 59, 2820-2847(2021).

[8] E GLAESSGEN, D STARGEL. The digital twin paradigm for future NASA and U.S.air force vehicles(2012).

[14] Y LAILI, X LI, Y WANG et al. Robotic disassembly sequence planning with backup actions. IEEE Transactions on Automation Science and Engineering, 19, 2095-2107(2019).

[15] F QIAO, J LIU, Y M MA. Industrial big-data-driven and CPS-based adaptive production scheduling for smart manufacturing. International Journal of Production Research, 59, 7139-7159(2021).

[16] S HARPREET. Big data，industry 4.0 and cyber-physical systems integration：a smart industry context. Materials Today：Proceedings, 157-162(2021).

[17] L REN, L ZHANG, F TAO et al. Cloud manufacturing：from concept to practice. Enterp.Inf.Syst., 9, 186-209(2015).

[18] L REN, L ZHANG, L WANG et al. Cloud manufacturing：key characteristics and applications. International Journal of Computer Integrated Manufacturing, 30, 501-515(2014).

[19] M BERNABEI, M EUGENI, P GAUDENZI et al. Assessment of smart transformation in the manufacturing process of aerospace components through a data-driven approach. Global Journal of Flexible Systems Management, 24, 67-86(2023).

[29] X ZHANG, S WANG, W LI et al. Heterogeneous sensors-based feature optimisation and deep learning for tool wear prediction. The International Journal of Advanced Manufacturing Technology, 114, 2651-2675(2021).

[30] S Q WI, W T XIANG, W D LI et al. Dynamic scheduling and optimization of AGV in factory logistics systems based on digital twin. Applied Sciences, 13, 1-20(2023).

[31] D GUO, R Y ZHONG, Y RONG et al. Synchronization of shop-floor logistics and manufacturing under IIoT and digital twin-enabled graduation intelligent manufacturing system. IEEE Transactions on Cybernetics, 53, 1-12(2021).

[33] J L WANG, J ZHANG, X X WANG. Bilateral LSTM：a two-dimensional long short-term memory model with multiply memory units for short-term cycle time forecasting in re-entrant manufacturing systems. IEEE Transactions on Industrial Informatics, 14, 748-758(2018).

[34] X L LIU, H QI, K Q LI et al. Sampling bloom filter-based detection of unknown RFID tags. IEEE Transactions on Communications, 63, 1432-1442(2015).

[35] X LIU, H QI, K LI et al. Sampling bloom filter-based detection of unknown RFID tags. IEEE Transactions on Communications, 63, 1432-1442(2015).