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Rong Zhu, Yuan Chen,
Weiwen Peng, Zhi-Sheng Ye, Bayesian deep-learning for RUL prediction: An active
learning perspective, Reliability Engineering & System Safety, Volume 228, 2022,
108758, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2022.108758. (https://www.sciencedirect.com/science/article/pii/S0951832022003817)
Yan Ma, Ce Shan,
Jinwu Gao, Hong Chen, Multiple health indicators fusion-based health prognostic
for lithium-ion battery using transfer learning and hybrid deep learning
method, Reliability Engineering & System Safety, Volume 229, 2023, 108818, ISSN
0951-8320, https://doi.org/10.1016/j.ress.2022.108818. (https://www.sciencedirect.com/science/article/pii/S0951832022004379)
Yuanfu Li, Yao
Chen, Zhenchao Hu, Huisheng Zhang, Remaining useful life prediction of
aero-engine enabled by fusing knowledge and deep learning models, Reliability
Engineering & System Safety, Volume 229, 2023,
108869, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2022.108869. (https://www.sciencedirect.com/science/article/pii/S0951832022004860) Dan Xu, Xiaoqi
Xiao, Jie Liu, Shaobo Sui, Spatio-temporal degradation modeling and remaining
useful life prediction under multiple operating conditions based on attention
mechanism and deep learning, Reliability Engineering & System Safety, Volume
229, 2023, 108886, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2022.108886. (https://www.sciencedirect.com/science/article/pii/S0951832022005038) Yupeng Wei,
Dazhong Wu, Prediction of state of health and remaining useful life of
lithium-ion battery using graph convolutional network with dual attention
mechanisms, Reliability Engineering & System Safety, Volume 230, 2023, 108947,
ISSN 0951-8320, https://doi.org/10.1016/j.ress.2022.108947. (https://www.sciencedirect.com/science/article/pii/S0951832022005622) Mingqiang Lin,
Yuqiang You, Wei Wang, Ji Wu, Battery health prognosis with gated recurrent
unit neural networks and hidden Markov model considering uncertainty
quantification, Reliability Engineering & System Safety, Volume 230, 2023, 108978,
ISSN 0951-8320, https://doi.org/10.1016/j.ress.2022.108978. (https://www.sciencedirect.com/science/article/pii/S0951832022005932) Yanwen Xu, Sara
Kohtz, Jessica Boakye, Paolo Gardoni, Pingfeng Wang, Physics-informed machine
learning for reliability and systems safety applications: State of the art and
challenges, Reliability Engineering & System Safety, Volume 230, 2023, 108900,
ISSN 0951-8320, https://doi.org/10.1016/j.ress.2022.108900. (https://www.sciencedirect.com/science/article/pii/S0951832022005154) Vijay Kumar,
Niina Hernández, Michelle Jensen, Rudrajeet Pal, Deep learning based system for
garment visual degradation prediction for longevity, Computers in Industry, Volume
144, 2023, 103779, ISSN 0166-3615, https://doi.org/10.1016/j.compind.2022.103779. (https://www.sciencedirect.com/science/article/pii/S0166361522001750) Víctor Manuel
Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele
Frontoni, César Hervás-Martínez, Deep learning based hierarchical classifier
for weapon stock aesthetic quality control assessment, Computers in Industry, Volume
144, 2023, 103786, ISSN 0166-3615, https://doi.org/10.1016/j.compind.2022.103786. (https://www.sciencedirect.com/science/article/pii/S0166361522001828) Guijian Xiao, Bao
Zhu, Youdong Zhang, Hui Gao, FCSNet: A quantitative explanation method for
surface scratch defects during belt grinding based on deep learning, Computers
in Industry, Volume 144, 2023, 103793, ISSN 0166-3615, https://doi.org/10.1016/j.compind.2022.103793. (https://www.sciencedirect.com/science/article/pii/S0166361522001890) Moncef Soualhi,
Khanh T.P. Nguyen, Kamal Medjaher, Fatiha Nejjari, Vicenc Puig, Joaquim Blesa,
Joseba Quevedo, Francesc Marlasca, Dealing with prognostics uncertainties:
Combination of direct and recursive remaining useful life estimations, Computers
in Industry, Volume 144, 2023, 103766, ISSN 0166-3615, https://doi.org/10.1016/j.compind.2022.103766. (https://www.sciencedirect.com/science/article/pii/S0166361522001622) Demi Ai, Jiabao
Cheng, A deep learning approach for electromechanical impedance based concrete
structural damage quantification using two-dimensional convolutional neural
network, Mechanical Systems and Signal Processing, Volume 183, 2023, 109634,
ISSN 0888-3270, https://doi.org/10.1016/j.ymssp.2022.109634. (https://www.sciencedirect.com/science/article/pii/S0888327022007221) Kaigan Zhang,
Tangbin Xia, Dong Wang, Genliang Chen, Ershun Pan, Lifeng Xi,
Privacy-preserving and sensor-fused framework for prognostic & health
management in leased manufacturing system, Mechanical Systems and Signal
Processing, Volume 184, 2023, 109666, ISSN 0888-3270, https://doi.org/10.1016/j.ymssp.2022.109666. (https://www.sciencedirect.com/science/article/pii/S0888327022007476) Chaonan Tian,
Tong Niu, Wei Wei, Developing a wind power forecasting system based on deep
learning with attention mechanism, Energy, Volume 257, 2022, 124750, ISSN
0360-5442, https://doi.org/10.1016/j.energy.2022.124750. (https://www.sciencedirect.com/science/article/pii/S036054422201653X) Jian Du, Jianqin
Zheng, Yongtu Liang, Xinyi Lu, Jiří Jaromír Klemeš, Petar Sabev
Varbanov, Khurram Shahzad, Muhammad Imtiaz Rashid, Arshid Mahmood Ali, Qi Liao,
Bohong Wang, A hybrid deep learning framework for predicting daily natural gas
consumption, Energy, Volume 257, 2022, 124689, ISSN 0360-5442, https://doi.org/10.1016/j.energy.2022.124689.
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