Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis

Citations

Cited by:

1. Dong, Manman & Cheng, Yongbo & Wan, Liangqi, 2024. "A new adaptive multi-kernel relevance vector regression for structural reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
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5. Liang, Pengfei & Wang, Xiangfeng & Ai, Chao & Hou, Dongming & Liu, Siyuan, 2025. "SRSGCN: A novel multi-sensor fault diagnosis method for hydraulic axial piston pump with limited data," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
6. Wu, Jian & Meng, Jinhao & Lin, Mingqiang & Wang, Wei & Wu, Ji & Stroe, Daniel-Ioan, 2024. "Lithium-ion battery state of health estimation using a hybrid model with electrochemical impedance spectroscopy," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
7. Zhao, Hongqian & Chen, Zheng & Shu, Xing & Xiao, Renxin & Shen, Jiangwei & Liu, Yu & Liu, Yonggang, 2024. "Online surface temperature prediction and abnormal diagnosis of lithium-ion batteries based on hybrid neural network and fault threshold optimization," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
8. Fu, Xingchen & Jiao, Keming & Tao, Jianfeng & Liu, Chengliang, 2024. "Multi-stream domain adversarial prototype network for integrated smart roller TBM main bearing fault diagnosis across various low rotating speeds," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
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10. Liang, Pengfei & Tian, Jiaye & Wang, Suiyan & Yuan, Xiaoming, 2024. "Multi-source information joint transfer diagnosis for rolling bearing with unknown faults via wavelet transform and an improved domain adaptation network," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
11. Wang, Haoyu & Li, Chuanjiang & Ding, Peng & Li, Shaobo & Li, Tandong & Liu, Chenyu & Zhang, Xiangjie & Hong, Zejian, 2024. "A novel transformer-based few-shot learning method for intelligent fault diagnosis with noisy labels under varying working conditions," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
12. Wang, Huan & Li, Yan-Fu & Zhang, Ying, 2023. "Bioinspired spiking spatiotemporal attention framework for lithium-ion batteries state-of-health estimation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
13. Keshun, You & Puzhou, Wang & Peng, Huang & Yingkui, Gu, 2025. "A sound-vibration physical-information fusion constraint-guided deep learning method for rolling bearing fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
14. Wang, Fengfei & Tang, Shengjin & Han, Xuebing & Yu, Chuanqiang & Sun, Xiaoyan & Lu, Languang & Ouyang, Minggao, 2024. "Capacity prediction of lithium-ion batteries with fusing aging information," Energy, Elsevier, vol. 293(C).
15. Guo, Yongfang & Yu, Xiangyuan & Wang, Yashuang & Huang, Kai, 2024. "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 and System Safety, Elsevier, vol. 244(C).
16. Zhang, Jianping & Zhang, Yinjie & Fu, Jian & Zhao, Dawen & Liu, Ping & Zhang, Zhiwei, 2024. "Capacity fading knee-point recognition method and life prediction for lithium-ion batteries using segmented capacity degradation model," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
17. Eleftheroglou, Nick & Galanopoulos, Georgios & Loutas, Theodoros, 2024. "Similarity learning hidden semi-Markov model for adaptive prognostics of composite structures," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
18. Kim, Jaewon & Sin, Seunghwa & Kim, Jonghoon, 2024. "Early remaining-useful-life prediction applying discrete wavelet transform combined with improved semi-empirical model for high-fidelity in battery energy storage system," Energy, Elsevier, vol. 297(C).
19. Wu, Jiawei & Wan, Liangqi, 2024. "Reliability sensitivity analysis for RBSMC: A high-efficiency multiple response Gaussian process model," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
20. Liu, Ruonan & Xie, Yunfei & Lin, Di & Zhang, Weidong & Ding, Steven X., 2024. "Information-based Gradient enhanced Causal Learning Graph Neural Network for fault diagnosis of complex industrial processes," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
21. Chen, Bingyang & Zeng, Xingjie & Liu, Chao & Xu, Yafei & Cao, Heling, 2025. "Health management of power batteries in low temperatures based on Adaptive Transfer Enformer framework," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).
22. Ma, Yan & Li, Jiaqi & Gao, Jinwu & Chen, Hong, 2024. "State of health prediction of lithium-ion batteries under early partial data based on IWOA-BiLSTM with single feature," Energy, Elsevier, vol. 295(C).
23. Tang, Aihua & Huang, Yukun & Xu, Yuchen & Hu, Yuanzhi & Yan, Fuwu & Tan, Yong & Jin, Xin & Yu, Quanqing, 2024. "Data-physics-driven estimation of battery state of charge and capacity," Energy, Elsevier, vol. 294(C).
24. Liu, Jiale & Wang, Huan, 2024. "A brain-inspired energy-efficient Wide Spiking Residual Attention Framework for intelligent fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
25. Zheng, Shuwen & Pan, Kai & Liu, Jie & Chen, Yunxia, 2024. "Empirical study on fine-tuning pre-trained large language models for fault diagnosis of complex systems," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
26. Wang, Fujin & Wu, Ziqian & Zhao, Zhibin & Zhai, Zhi & Wang, Chenxi & Chen, Xuefeng, 2024. "Physical knowledge guided state of health estimation of lithium-ion battery with limited segment data," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
27. Wei, Yujie & Pan, Ershun & Ye, Zhi-Sheng, 2024. "Condition monitoring based on corrupted multiple time series with common trends," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
28. Yao, Jiachi & Chang, Zhonghao & Han, Te & Tian, Jingpeng, 2024. "Semi-supervised adversarial deep learning for capacity estimation of battery energy storage systems," Energy, Elsevier, vol. 294(C).
29. Yin, Xiuxian & He, Wei & Cao, You & Ma, Ning & Zhou, Guohui & Li, Hongyu, 2024. "A new health state assessment method based on interpretable belief rule base with bimetric balance," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
30. Liu, Jie & He, Zihan & Miao, Yonghao, 2024. "Causality-based adversarial attacks for robust GNN modelling with application in fault detection," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
31. Che, Yunhong & Zheng, Yusheng & Forest, Florent Evariste & Sui, Xin & Hu, Xiaosong & Teodorescu, Remus, 2024. "Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
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