Lee, Suyeon,
Park, Seungil, Han, Changwoon, Prognostics and Health Management Using Nonlinear Cumulative Damage Model
for Electronic Devices Under Variable Loading, IEEE ACCESS, Volume 12, 2024,
3356-3371 https://doi.org/10.1109/ACCESS.2023.3347780 Massaoudi, M,
Abu-Rub, Ghrayeb, A, Advancing Lithium-Ion Battery Health Prognostics With Deep
Learning: A Review and Case Study, IEEE OPEN JOURNAL OF INDUSTRY APPLICATIONS,
Volume 5, 2024, 43-62 https://doi.org/10.1109/OJIA.2024.3354899 Khaleghi, S,
Hosen, MS, Van Mierlo, J, Berecibar, M, Towards machine-learning driven
prognostics and health management of Li-ion batteries. A comprehensive review,
Renewable and Sustainable Energy Reviews, Volume 192, 2024, 114224 https://doi.org/10.1016/j.rser.2023.114224
Guo, YF, Yu, XY, Wang,
YS, Huang, K, Health prognostics of
lithium-ion batteries based on universal voltage range features mining and
adaptive multi-Gaussian process regression with Harris Hawks optimization
algorithm, Reliability Engineering & System Safety, Volume 244, 2024,
109913 https://doi.org/10.1016/j.ress.2023.109913 Yan-Fu Li, Huan
Wang, Muxia Sun, ChatGPT-like large-scale foundation models for prognostics and
health management: A survey and roadmaps, Reliability Engineering & System
Safety, Volume 243, 2024, 109850 https://doi.org/10.1016/j.ress.2023.109850 Jianhai Yan,
Zhi-Sheng Ye, Shuguang He, Zhen He, A feature disentanglement and unsupervised
domain adaptation of remaining useful life prediction for sensor-equipped
machines, Reliability Engineering & System Safety, Volume 242, 2024, 109736 https://doi.org/10.1016/j.ress.2023.109736 Antonios
Kamariotis, Konstantinos Tatsis, Eleni Chatzi, Kai Goebel, Daniel Straub, A
metric for assessing and optimizing data-driven prognostic algorithms for
predictive maintenance, Reliability Engineering & System Safety, Volume
242, 2024, 109723 https://doi.org/10.1016/j.ress.2023.109723 Li Cai, Jingdong
Lin, A charging-feature-based estimation model for state of health of
lithium-ion batteries, Expert Systems with Applications, Volume 238, Part B,
2024, 122034 https://doi.org/10.1016/j.eswa.2023.122034 Huiqin Li,
Zhengxin Zhang, Tianmei Li, Xiaosheng Si, A review on physics-informed
data-driven remaining useful life prediction: Challenges and opportunities,
Mechanical Systems and Signal Processing, Volume 209, 2024, 111120 https://doi.org/10.1016/j.ymssp.2024.111120
Xucong Huang, Zhaoqin Peng, Diyin Tang, Juan Chen, Enrico Zio, Zaiping Zheng, A physics-informed autoencoder for system health state assessment
based on energy-oriented system performance, A physics-informed autoencoder for
system health state assessment based on energy-oriented system performance,
Reliability Engineering & System Safety, Volume 242, 2024, 109790 https://doi.org/10.1016/j.ress.2023.109790 |
