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IEEE/CAA Journal of Automatica Sinica

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L. Fan, X. Chen, S. Li, and Y. Chai, “Multi-interval-aggregation failure point approximation for remaining useful life prediction,” IEEE/CAA J. Autom. Sinica, 2024. doi: 10.1109/JAS.2024.124593
Citation: L. Fan, X. Chen, S. Li, and Y. Chai, “Multi-interval-aggregation failure point approximation for remaining useful life prediction,” IEEE/CAA J. Autom. Sinica, 2024. doi: 10.1109/JAS.2024.124593

Multi-Interval-Aggregation Failure Point Approximation for Remaining Useful Life Prediction

doi: 10.1109/JAS.2024.124593
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  • [1]
    Y. Lei, N. Li, L. Guo, N. Li, T. Yan, and J. Lin, “Machinery health prognostics: A systematic review from data acquisition to rul prediction,” Mechanical systems and signal processing, vol. 104, pp. 799–834, 2018. doi: 10.1016/j.ymssp.2017.11.016
    [2]
    T. Zonta, C. A. Da Costa, R. da Rosa Righi, M. J. de Lima, E. S. da Trindade, and G. P. Li, “Predictive maintenance in the industry 4.0: A systematic literature review,” Computers & Industrial Engineering, vol. 150, p. 106889, 2020.
    [3]
    Q. Zhu, Q. Xiong, Z. Yang, and Y. Yu, “Rgcnu: Recurrent graph convolutional network with uncertainty estimation for remaining useful life prediction,” IEEE/CAA Journal of Automatica Sinica, vol. 10, no. 7, pp. 1640–1642, 2023. doi: 10.1109/JAS.2023.123369
    [4]
    Y. Pan, T. Wu, Y. Jing, Z. Han, and Y. Lei, “Remaining useful life prediction of lubrication oil by integrating multi-source knowledge and multi-indicator data,” Mechanical Systems and Signal Processing, vol. 191, p. 110174, 2023. doi: 10.1016/j.ymssp.2023.110174
    [5]
    B. Yang, R. Liu, and E. Zio, “Remaining useful life prediction based on a double-convolutional neural network architecture,” IEEE Trans. Industrial Electronics, vol. 66, no. 12, pp. 9521–9530, 2019. doi: 10.1109/TIE.2019.2924605
    [6]
    H. Miao, B. Li, C. Sun, and J. Liu, “Joint learning of degradation assessment and rul prediction for aeroengines via dual-task deep lstm networks,” IEEE Trans. Industrial Informatics, vol. 15, no. 9, pp. 5023–5032, 2019. doi: 10.1109/TII.2019.2900295
    [7]
    S. Xiang, Y. Qin, J. Luo, and H. Pu, “Spatiotemporally multidifferential processing deep neural network and its application to equipment remaining useful life prediction,” IEEE Trans. Industrial Informatics, vol. 18, no. 10, pp. 7230–7239, 2021.
    [8]
    L. Fan, Y. Chai, and X. Chen, “Trend attention fully convolutional network for remaining useful life estimation,” Reliability Engineering & System Safety, vol. 225, p. 108590, 2022.
    [9]
    A. Graves and A. Graves, “Long short-term memory,” Supervised sequence labelling with recurrent neural networks, pp. 37–45, 2012.
    [10]
    Y. Qin, S. Xiang, Y. Chai, and H. Chen, “Macroscopic–microscopic attention in lstm networks based on fusion features for gear remaining life prediction,” IEEE Trans. Industrial Electronics, vol. 67, no. 12, pp. 10 865–10 875, 2019.
    [11]
    Y. Qin, D. Chen, S. Xiang, and C. Zhu, “Gated dual attention unit neural networks for remaining useful life prediction of rolling bearings,” IEEE Trans. Industrial Informatics, vol. 17, no. 9, pp. 6438–6447, 2020.
    [12]
    J. Zhou, Y. Qin, J. Luo, S. Wang, and T. Zhu, “Dual-thread gated recurrent unit for gear remaining useful life prediction,” IEEE Trans. Industrial Informatics, p. , 2022.
    [13]
    K. Bi, L. Xie, H. Zhang, X. Chen, X. Gu, and Q. Tian, “Accurate medium-range global weather forecasting with 3d neural networks,” Nature, pp. 1–6, 2023.
    [14]
    M. Pecht, “Calce battery group,” (2017).[Online]. Available: http://www.calce.umd.edu/batteries/data.htm
    [15]
    Prognostics and H. M. Society, “PHM Data Challenge 2010,” (2010).[Online]. Available: https://phmsociety.org/conference/

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