Te Han Sr. : Citation Profile

Beijing Institute of Technology (50% share)
Beijing Institute of Technology (50% share)

8

H index

8

i10 index

226

Citations

RESEARCH PRODUCTION:

17

Articles

RESEARCH ACTIVITY:

   5 years (2020 - 2025). See details.
   Cites by year: 45
   Journals where Te Han Sr. has often published
   Relations with other researchers
   Recent citing documents: 154.    Total self citations: 5 (2.16 %)

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   Permalink: http://citec.repec.org/pha1518
   Updated: 2026-08-08    RAS profile: 2026-06-08    
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Relations with other researchers

Works with:

Wei, Yi-Ming (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Te Han Sr..

Is cited by:

Cites to:

Wei, Yi-Ming (2)

Remes (née Aatola), Piia (1)

Lo, Andrew (1)

Sun, Chuanwang (1)

Lin, Boqiang (1)

Jiménez-Rodríguez, Rebeca (1)

Shi, Xunpeng (1)

Billio, Monica (1)

Pelizzon, Loriana (1)

Liu, Huiling (1)

Kaymak, Uzay (1)

Main data

Where Te Han Sr. has published?

Journals with more than one article published# docs
Reliability Engineering and System Safety7
Energy5
Renewable and Sustainable Energy Reviews2
Applied Energy2

Recent works citing Te Han Sr. (2026 and 2025)

YearTitle of citing document
2024State-of-health estimation for lithium-ion batteries based on Kullback–Leibler divergence and a retentive network. (2024). Lyu, Ximin ; Fan, Yuqian ; Peng, Weiwen ; Yang, Fangfang ; Chen, Guanxu. In: Applied Energy. RePEc:eee:appene:v:376:y:2024:i:pb:s0306261924016490.

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2025Lithium-ion battery remaining useful life prediction based on interpretable deep learning and network parameter optimization. (2025). Zhang, Caiping ; Zhao, BO. In: Applied Energy. RePEc:eee:appene:v:379:y:2025:i:c:s0306261924020968.

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2025AM-MFF: A multi-feature fusion framework based on attention mechanism for robust and interpretable lithium-ion battery state of health estimation. (2025). Yang, Ling ; Xu, Fangyuan ; Chen, Si-Zhe ; Liu, Jing ; Yuan, Haoliang ; Tao, Yibin. In: Applied Energy. RePEc:eee:appene:v:381:y:2025:i:c:s0306261924025005.

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2025A methodological review of cost-effective data-driven fault detection and diagnosis in distributed photovoltaic systems. (2025). Rispler, Jonathan ; Ibrahim, Ibrahim Anwar ; Rougieux, Fiacre ; Duran, Earl ; Martell, Chris ; Severiano, Bernardo Mendonca ; Yildiz, Baran ; Bruce, Anna ; Liu, Yinyan. In: Applied Energy. RePEc:eee:appene:v:401:y:2025:i:pa:s0306261925013662.

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2025Robust capacity estimation with uncertainty quantification for li-ion batteries under temporal data masking challenges: A progressive learning approach. (2025). Wang, Yujie ; Zhang, XI ; Pang, Tengwei ; Fan, Guodong ; Zhou, Boru. In: Applied Energy. RePEc:eee:appene:v:401:y:2025:i:pa:s0306261925013789.

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2025Transfer learning with composite kernel sparse Gaussian process-aided model for probabilistic state of health estimation of lithium-ion batteries against multi-source coupled harsh scenarios. (2025). Zhang, Yuning ; Hu, Weihao ; Xiong, Ran ; Zhao, Pengfei ; Tang, Ming ; Cao, DI. In: Applied Energy. RePEc:eee:appene:v:401:y:2025:i:pc:s0306261925014928.

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2026Battery health prediction under data scarcity: A cross-domain physics-informed 5-shot framework with GRU-Transformer. (2026). Luo, Zhenning ; Zhang, Yongzhi ; Pan, Yongjun ; Nie, Xiaobo ; Wang, Shuxin. In: Applied Energy. RePEc:eee:appene:v:402:y:2026:i:pb:s0306261925017428.

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2026NPP-GPT: Forecasting nuclear power plants operating parameters using pre-trained large language model. (2026). Wang, Jianye ; Chen, Shuai ; Zhang, Ziheng ; Yang, Minghan ; Yu, Haibo ; Chang, Ling. In: Applied Energy. RePEc:eee:appene:v:409:y:2026:i:c:s0306261926000905.

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2024Improved cooperative competitive particle swarm optimization and nonlinear coefficient temperature decreasing simulated annealing-back propagation methods for state of health estimation of energy storage batteries. (2024). Xiong, Ran ; Huang, QI ; Jia, Jun ; Guerrero, Josep M ; Yu, Chunmei ; Fernandez, Carlos ; Xiao, Wei ; Wang, Shunli. In: Energy. RePEc:eee:energy:v:292:y:2024:i:c:s0360544224003669.

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2024Capacity prediction of lithium-ion batteries with fusing aging information. (2024). Sun, Xiaoyan ; Tang, Shengjin ; Ouyang, Minggao ; Lu, Languang ; Wang, Fengfei ; Yu, Chuanqiang ; Han, Xuebing. In: Energy. RePEc:eee:energy:v:293:y:2024:i:c:s0360544224005152.

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2024Data-physics-driven estimation of battery state of charge and capacity. (2024). Hu, Yuanzhi ; Tan, Yong ; Jin, Xin ; Yu, Quanqing ; Yan, Fuwu ; Tang, Aihua ; Huang, Yukun ; Xu, Yuchen. In: Energy. RePEc:eee:energy:v:294:y:2024:i:c:s0360544224005486.

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2024Precise modeling of lithium-ion battery in industrial applications using Walrus optimization algorithm. (2024). Fahmy, Hend M ; Hasanien, Hany M ; Alqahtani, Ayedh H. In: Energy. RePEc:eee:energy:v:294:y:2024:i:c:s0360544224006315.

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2024State of health prediction of lithium-ion batteries under early partial data based on IWOA-BiLSTM with single feature. (2024). Ma, Yan ; Gao, Jinwu ; Li, Jiaqi ; Chen, Hong. In: Energy. RePEc:eee:energy:v:295:y:2024:i:c:s0360544224008570.

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2024Capacity estimation of lithium-ion batteries with uncertainty quantification based on temporal convolutional network and Gaussian process regression. (2024). Liu, Yajie ; Zhou, Xing ; Zhang, Ran ; Jin, Guang ; Pan, Zhengqiang. In: Energy. RePEc:eee:energy:v:297:y:2024:i:c:s0360544224009277.

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2024Early remaining-useful-life prediction applying discrete wavelet transform combined with improved semi-empirical model for high-fidelity in battery energy storage system. (2024). Sin, Seunghwa ; Kim, Jonghoon. In: Energy. RePEc:eee:energy:v:297:y:2024:i:c:s0360544224010582.

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2024An optimized multi-segment long short-term memory network strategy for power lithium-ion battery state of charge estimation adaptive wide temperatures. (2024). Fan, Yongcun ; Wang, Shunli ; Blaabjerg, Frede ; Liu, Donglei ; Fernandez, Carlos. In: Energy. RePEc:eee:energy:v:304:y:2024:i:c:s036054422401822x.

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2024Machine learning based battery pack health prediction using real-world data. (2024). Chen, Zonghai ; Xiang, Haoxiang ; Wang, Yujie ; Soo, Yin-Yi. In: Energy. RePEc:eee:energy:v:308:y:2024:i:c:s0360544224026306.

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2024A label-free battery state of health estimation method based on adversarial multi-domain adaptation network and relaxation voltage. (2024). Yang, Wenxian ; Miao, Haiyan ; Wang, Zuolu ; Zhao, Xiaoyu ; Gu, Fengshou ; Ball, Andrew D. In: Energy. RePEc:eee:energy:v:308:y:2024:i:c:s0360544224026550.

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2024TPANet: A novel triple parallel attention network approach for remaining useful life prediction of lithium-ion batteries. (2024). Zhang, Jinglin ; Lu, Weizhi ; Li, Yueling ; Mao, Runze. In: Energy. RePEc:eee:energy:v:309:y:2024:i:c:s0360544224026641.

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2025An innovative multitask learning - Long short-term memory neural network for the online anti-aging state of charge estimation of lithium-ion batteries adaptive to varying temperature and current conditions. (2025). Wang, Shunli ; Tao, Junjie ; Cheng, Liangwei ; Blaabjerg, Frede ; Fernandez, Carlos ; Cao, Wen. In: Energy. RePEc:eee:energy:v:314:y:2025:i:c:s0360544224040507.

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2025A deep learning multi-feature based fusion model for predicting the state of health of lithium-ion batteries. (2025). Chinnathambi, Arunachalam ; Varuvel, Edwin Geo ; Femilda, J S ; Sonthalia, Ankit ; Subramanian, Thiyagarajan ; Kiani, Farzad. In: Energy. RePEc:eee:energy:v:317:y:2025:i:c:s0360544225002117.

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2025Retired battery capacity screening based on deep learning with embedded feature smoothing under massive imbalanced data. (2025). Meng, Jinhao ; Lin, Mingqiang ; Wang, Jieming ; Wu, JI. In: Energy. RePEc:eee:energy:v:318:y:2025:i:c:s0360544225004037.

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2025State of health estimation for lithium-ion batteries based on optimal feature subset algorithm. (2025). Wang, Haitao ; Sun, Jing. In: Energy. RePEc:eee:energy:v:322:y:2025:i:c:s0360544225013271.

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2025Time series modeling and forecasting with feature decomposition and interaction for prognostics and health management in nuclear power plant. (2025). Wang, Jianye ; Li, Huijuan ; Chen, Shuai ; Yang, Minghan ; Chang, Ling ; Yu, Haibo. In: Energy. RePEc:eee:energy:v:324:y:2025:i:c:s0360544225014264.

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2025Prognosability regularized generative adversarial network for battery state of health estimation with limited samples. (2025). Chang, Jiantao ; Ye, Zhuang ; Yu, Jianbo. In: Energy. RePEc:eee:energy:v:325:y:2025:i:c:s0360544225015646.

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2025Nuclear power systems unsupervised anomaly localization considering spatiotemporal information and influence mechanism between devices. (2025). Li, Yanjun ; Zhou, Xin ; Sun, Shengdi ; Liu, Xinmeng ; Lin, Chaojing ; Shi, Jianxin ; Wang, Haotong. In: Energy. RePEc:eee:energy:v:325:y:2025:i:c:s0360544225018468.

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2025Trustworthy battery state of charge estimation enabled by multi-task deep learning. (2025). Chung, Chi Yung ; Guo, Shanshan ; Tian, Jinpeng ; Zhang, Tieling ; Li, Yannan ; Ma, Liang. In: Energy. RePEc:eee:energy:v:326:y:2025:i:c:s0360544225019061.

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2025Unsupervised clustering research of nuclear power plants under unlabeled unknown fault diagnosis scenario. (2025). Zhou, Shiqi ; Lin, Meng ; He, Jun ; Wu, Yuzeng ; Wang, XU. In: Energy. RePEc:eee:energy:v:326:y:2025:i:c:s0360544225019991.

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2025Dynamic fusion LSTM-Transformer for prediction in energy harvesting from human motions. (2025). Gong, Ying ; Wang, Yongzheng ; Peng, Xuzhang ; Xie, Yuanhang ; Zhang, Wenhua. In: Energy. RePEc:eee:energy:v:327:y:2025:i:c:s0360544225018341.

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2025Battery charging curve prediction via Fourier graph neural network fused prompt features. (2025). Tang, Zikang ; Yu, Qifeng ; Li, Xiaoyu ; Tian, Jindong ; Wang, Jie ; Lai, Rucong. In: Energy. RePEc:eee:energy:v:333:y:2025:i:c:s0360544225032074.

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2025Micro-overcharge driven nonlinear degradation mechanisms: Towards early detection of capacity knee points in lithium-ion batteries. (2025). Gao, Min ; Yun, Fengling ; Fang, Sheng ; Ma, Xiaoli ; Zhang, Hang ; Shen, Xueling ; Lian, Fang. In: Energy. RePEc:eee:energy:v:335:y:2025:i:c:s0360544225036047.

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2025Interpretable deep learning with uncertainty quantification for lithium-ion battery SOH estimation. (2025). Huang, Xinyan ; Chen, Liqun ; Liu, Changlin ; Su, Yanghan ; Geng, Mengyao. In: Energy. RePEc:eee:energy:v:335:y:2025:i:c:s0360544225036692.

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2025Few-shot state-of-health prediction for lithium-ion batteries with LSTM network. (2025). Ouyang, Yuqi ; Zhu, Tao ; Wang, Yuhao ; Peng, Haoran ; Tang, Qingye. In: Energy. RePEc:eee:energy:v:335:y:2025:i:c:s036054422503720x.

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2025Mean value model-assisted dual transfer: a cross-domain fault diagnosis framework in diesel engines from simulation domains to experimental domains. (2025). Ding, Hongyuan ; Liu, Zhaotong ; Fei, Jingzhou ; Shi, Zeyu ; Wang, Zhongwei. In: Energy. RePEc:eee:energy:v:335:y:2025:i:c:s0360544225037685.

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2025Physics-informed hierarchical perception modulation network for lithium-ion battery health management. (2025). Dong, Jinrun ; Feng, Jirou ; Hao, Shuai ; Cui, Wenyue ; Cheng, Jinhua ; Gong, Maoguo. In: Energy. RePEc:eee:energy:v:335:y:2025:i:c:s036054422503871x.

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2025State-of-health estimation for battery packs of real-world electric vehicles with cell-to-pack transfer learning. (2025). Fan, Yunsheng ; Wu, Yue ; Kaleem, Muaaz Bin ; Li, Heng ; Huang, Zhiwu. In: Energy. RePEc:eee:energy:v:336:y:2025:i:c:s0360544225039702.

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2025A parallel LTCN-PHA network for remaining useful life prediction of lithium-ion batteries. (2025). Cai, Yaoyang ; Yang, Xinle ; Li, Lei ; Yu, Jingmei. In: Energy. RePEc:eee:energy:v:337:y:2025:i:c:s0360544225040782.

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2026A sparse SOH estimation framework based on clustered voltage segments and multi-head CNN under arbitrary charging condition. (2026). Wang, Wei ; Lin, Mingqiang ; Ke, Leisi ; Wu, JI ; Meng, Jinhao. In: Energy. RePEc:eee:energy:v:344:y:2026:i:c:s0360544226001593.

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2026Source-free unsupervised cross-condition capacity prediction of lithium-ion batteries based on adversarial differences and temporal consistency. (2026). Wang, Yao ; Dong, Xinyu ; Wu, Lifeng ; Xie, Jingyi. In: Energy. RePEc:eee:energy:v:345:y:2026:i:c:s0360544226003051.

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2024Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection. (2024). Zheng, Yusheng ; Che, Yunhong ; Sui, Xin ; Hu, Xiaosong ; Teodorescu, Remus ; Forest, Florent Evariste. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:241:y:2024:i:c:s0951832023005173.

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2024Risk assessment of utility tunnels through risk interaction-based deep learning. (2024). Liu, Shifeng ; Ren, Long ; Xue, Gang ; Gong, Daqing. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:241:y:2024:i:c:s0951832023005409.

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2024Knowledge distillation-optimized two-stage anomaly detection for liquid rocket engine with missing multimodal data. (2024). Liu, Zijun ; Feng, Yong ; Zhang, Xinwei ; Wang, Jun ; Chen, Jinglong ; Huang, Hong. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:241:y:2024:i:c:s0951832023005902.

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2024Complex augmented representation network for transferable health prognosis of rolling bearing considering dynamic covariate shift. (2024). Cao, Yudong ; Zhao, Xiaoli ; Yan, Xiaoan ; Jia, Minping ; Feng, KE. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:241:y:2024:i:c:s0951832023006063.

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2024Uncertainty-aware trustworthy weather-driven failure risk predictor for overhead contact lines. (2024). Gao, Shibin ; Yu, Long ; Kou, Lei ; Wang, Jian ; Neri, Ferrante ; Zhang, Dongkai ; Liu, Xingyang. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:242:y:2024:i:c:s0951832023006488.

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2024Semi-supervised ensemble fault diagnosis method based on adversarial decoupled auto-encoder with extremely limited labels. (2024). Deng, Zihao ; Miao, Jianguo. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:242:y:2024:i:c:s0951832023006543.

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2024A new health state assessment method based on interpretable belief rule base with bimetric balance. (2024). Cao, You ; Yin, Xiuxian ; He, Wei ; Ma, Ning ; Li, Hongyu ; Zhou, Guohui. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:242:y:2024:i:c:s0951832023006580.

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2024Semi-supervised small sample fault diagnosis under a wide range of speed variation conditions based on uncertainty analysis. (2024). Zhu, Yongsheng ; Yan, KE ; Huang, Kai ; Soares, Guedes C ; Gao, Dawei ; Ren, Zhijun. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:242:y:2024:i:c:s0951832023006609.

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2024Multi-source information joint transfer diagnosis for rolling bearing with unknown faults via wavelet transform and an improved domain adaptation network. (2024). Yuan, Xiaoming ; Wang, Suiyan ; Liang, Pengfei ; Tian, Jiaye. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:242:y:2024:i:c:s0951832023007020.

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2024Online surface temperature prediction and abnormal diagnosis of lithium-ion batteries based on hybrid neural network and fault threshold optimization. (2024). Liu, YU ; Shu, Xing ; Xiao, Renxin ; Shen, Jiangwei ; Zhao, Hongqian ; Chen, Zheng. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:243:y:2024:i:c:s0951832023007123.

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2024Similarity learning hidden semi-Markov model for adaptive prognostics of composite structures. (2024). Loutas, Theodoros ; Eleftheroglou, Nick ; Galanopoulos, Georgios. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:243:y:2024:i:c:s0951832023007226.

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2024Reliability sensitivity analysis for RBSMC: A high-efficiency multiple response Gaussian process model. (2024). Wan, Liangqi ; Wu, Jiawei. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:243:y:2024:i:c:s0951832023007263.

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2024Robust deep Gaussian process-based trustworthy fog-haze-caused pollution flashover prediction approach for overhead contact lines. (2024). Gao, Shibin ; Yu, Long ; Kou, Lei ; Wang, Jian ; Liu, Huiyuan ; Zhang, Dongkai. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:243:y:2024:i:c:s0951832023007433.

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2024Sensitivity analysis by differential importance measure for unsupervised fault diagnostics. (2024). Lu, Xuefei ; Baraldi, Piero ; Rossetti, Paolo ; Floreale, Giovanni ; Zio, Enrico. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:243:y:2024:i:c:s0951832023007603.

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2024ChatGPT-like large-scale foundation models for prognostics and health management: A survey and roadmaps. (2024). Li, Yan-Fu ; Sun, Muxia ; Wang, Huan. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:243:y:2024:i:c:s0951832023007640.

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2024RUL prediction of rolling bearings across working conditions based on multi-scale convolutional parallel memory domain adaptation network. (2024). Meng, Zong ; Mao, Weilin ; Yu, Shancheng ; Tong, Kai ; Li, Jimeng ; Yang, Bixin. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:243:y:2024:i:c:s0951832023007688.

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2024A brain-inspired energy-efficient Wide Spiking Residual Attention Framework for intelligent fault diagnosis. (2024). Liu, Jiale ; Wang, Huan. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:243:y:2024:i:c:s0951832023007871.

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2024A new adaptive multi-kernel relevance vector regression for structural reliability analysis. (2024). Cheng, Yongbo ; Dong, Manman ; Wan, Liangqi. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:243:y:2024:i:c:s0951832023008049.

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2024A novel generalized source-free domain adaptation approach for cross-domain industrial fault diagnosis. (2024). Jiang, Yuchen ; Wu, Shimeng ; Yin, Shen ; Zhang, Jiusi ; Tian, Jilun ; Luo, Hao. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:243:y:2024:i:c:s0951832023008050.

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2024Knowledge-informed deep networks for robust fault diagnosis of rolling bearings. (2024). Wang, Zequn ; Su, Yunsheng ; Shi, Luojie ; Zhou, Kai ; Bai, Guangxing. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:244:y:2024:i:c:s0951832023007779.

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2024Health prognostics of lithium-ion batteries based on universal voltage range features mining and adaptive multi-Gaussian process regression with Harris Hawks optimization algorithm. (2024). Guo, Yongfang ; Wang, Yashuang ; Yu, Xiangyuan ; Huang, Kai. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:244:y:2024:i:c:s095183202300827x.

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2024A robust health prediction using Bayesian approach guided by physical constraints. (2024). Kim, Nam H ; Choi, Joo-Ho ; Park, Hyung Jun. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:244:y:2024:i:c:s0951832024000292.

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2024An unknown wafer surface defect detection approach based on Incremental Learning for reliability analysis. (2024). Zhao, Zeyun ; Chen, Yiyang ; Tao, Qian ; Wang, Jia ; Li, Andong. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:244:y:2024:i:c:s0951832024000413.

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2024Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence. (2024). Yan, Xiaoan ; Miao, Qiuhua ; Ding, Peng ; Jia, Minping ; Feng, KE ; Zhuang, Jichao ; Cao, Yudong ; Zhao, Xiaoli. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:246:y:2024:i:c:s0951832024001534.

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2024Robust condition identification against label noise in industrial processes based on trusted connection dictionary learning. (2024). Gui, Weihua ; Tao, Shijun ; Huang, Keke ; Wu, Dehao ; Yang, Chunhua. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:247:y:2024:i:c:s0951832024002072.

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2024A novel local linear embedding algorithm via local mutual representation for bearing fault diagnosis. (2024). Gao, Zhi-Wei ; Liu, Yuanhong ; Lu, Shixiang ; Zhang, Fangfang ; Shi, Baoxin. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:247:y:2024:i:c:s0951832024002096.

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2024Single domain generalization method based on anti-causal learning for rotating machinery fault diagnosis. (2024). Kong, Xianguang ; Wang, Qibin ; Du, Jingli ; Ma, Hongbo ; Zhang, Guowei. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:250:y:2024:i:c:s0951832024003247.

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2024Multi-stream domain adversarial prototype network for integrated smart roller TBM main bearing fault diagnosis across various low rotating speeds. (2024). Fu, Xingchen ; Jiao, Keming ; Tao, Jianfeng ; Liu, Chengliang. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:250:y:2024:i:c:s0951832024003569.

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2024A holistic semi-supervised method for imbalanced fault diagnosis of rotational machinery with out-of-distribution samples. (2024). Wu, Zhangjun ; Luo, Yuansheng ; Xu, Renli ; Shao, Haidong. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:250:y:2024:i:c:s0951832024003697.

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2024Probabilistic remaining useful life prediction without lifetime labels: A Bayesian deep learning and stochastic process fusion method. (2024). Wu, Zeyu ; Yi, Zechen ; Ren, YI ; Feng, Qiang ; Pan, Junlin ; Sun, BO ; Wang, Zili. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:250:y:2024:i:c:s0951832024003855.

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2024DRSwin-ST: An intelligent fault diagnosis framework based on dynamic threshold noise reduction and sparse transformer with Shifted Windows. (2024). Li, XI ; Zhou, Tao ; Yang, Jianwei ; Yao, Dechen ; Meng, Chang. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:250:y:2024:i:c:s0951832024003995.

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2024Condition monitoring based on corrupted multiple time series with common trends. (2024). Ye, Zhi-Sheng ; Wei, Yujie ; Pan, Ershun. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:251:y:2024:i:c:s095183202400396x.

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2024Physical knowledge guided state of health estimation of lithium-ion battery with limited segment data. (2024). Wu, Zi Qian ; Zhai, Zhi ; Zhao, Zhibin ; Chen, Xuefeng ; Wang, Fujin. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:251:y:2024:i:c:s0951832024003971.

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2024Causal intervention graph neural network for fault diagnosis of complex industrial processes. (2024). Zhang, Weidong ; Ding, Steven X ; Liu, Ruonan ; Lin, DI. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:251:y:2024:i:c:s0951832024004009.

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2024Intelligent fault diagnosis of bearings driven by double-level data fusion based on multichannel sample fusion and feature fusion under time-varying speed conditions. (2024). Jiao, Zonghao ; Zhang, Zhongwei ; Li, Youjia ; Dai, Xiangjun ; Shao, Mingyu. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:251:y:2024:i:c:s0951832024004344.

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2024Physics-driven feature alignment combined with dynamic distribution adaptation for three-cylinder drilling pump cross-speed fault diagnosis. (2024). Liu, Zhiliang ; Zuo, Mingjian ; Dai, Menghang ; Wang, Jinrui. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:251:y:2024:i:c:s0951832024004411.

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2024Intelligent recognition of structural health state of EV lithium-ion Battery using transfer learning based on X-ray computed tomography. (2024). Zhang, Ying ; Li, Yan-Fu ; Ma, Tianyi ; Gao, Kaiye ; Wang, Huan. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:251:y:2024:i:c:s0951832024004460.

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2024Uncertainty-aware deep learning for monitoring and fault diagnosis from synthetic data. (2024). Das, Laya ; Sansavini, Giovanni ; Gjorgiev, Blazhe. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:251:y:2024:i:c:s0951832024004587.

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2024Capacity fading knee-point recognition method and life prediction for lithium-ion batteries using segmented capacity degradation model. (2024). Zhang, Zhiwei ; Liu, Ping ; Fu, Jian ; Zhao, Dawen. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:251:y:2024:i:c:s0951832024004678.

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2024A novel transformer-based few-shot learning method for intelligent fault diagnosis with noisy labels under varying working conditions. (2024). Li, Tandong ; Ding, Peng ; Wang, Haoyu ; Liu, Chenyu ; Hong, Zejian ; Zhang, Xiangjie. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:251:y:2024:i:c:s0951832024004721.

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2024An interpretable multiscale lifting wavelet contrast network for planetary gearbox fault diagnosis with small samples. (2024). Dong, Yutong ; Wang, Xin ; Jiang, Wenxin ; Mu, Mingzhe. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:251:y:2024:i:c:s0951832024004769.

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2024Empirical study on fine-tuning pre-trained large language models for fault diagnosis of complex systems. (2024). Chen, Yunxia ; Liu, Jie ; Pan, Kai ; Zheng, Shuwen. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:252:y:2024:i:c:s095183202400454x.

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2024A relationship-aware calibrated prototypical network for fault incremental diagnosis of electric motors without reserved samples. (2024). Li, Weihua ; Chen, Zhuyun ; Kwoh, Chee Keong ; Deng, Shuhan ; Yue, KE. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:252:y:2024:i:c:s0951832024005015.

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2024Lithium-ion battery state of health estimation using a hybrid model with electrochemical impedance spectroscopy. (2024). Stroe, Daniel-Ioan ; Wu, JI ; Wang, Wei ; Lin, Mingqiang ; Meng, Jinhao. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:252:y:2024:i:c:s0951832024005222.

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2024Causality-based adversarial attacks for robust GNN modelling with application in fault detection. (2024). Miao, Yonghao ; He, Zihan ; Liu, Jie. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:252:y:2024:i:c:s0951832024005362.

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2024Information-based Gradient enhanced Causal Learning Graph Neural Network for fault diagnosis of complex industrial processes. (2024). Ding, Steven X ; Zhang, Weidong ; Lin, DI ; Xie, Yunfei ; Liu, Ruonan. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:252:y:2024:i:c:s0951832024005404.

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2024A hybrid battery degradation model combining arrhenius equation and neural network for capacity prediction under time-varying operating conditions. (2024). Pan, Ershun ; Xia, Tangbin ; Wu, Wei ; Wang, Zirong ; Chen, Zhen. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:252:y:2024:i:c:s095183202400543x.

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2025A robust source-free unsupervised domain adaptation method based on uncertainty measure and adaptive calibration for rotating machinery fault diagnosis. (2025). Zhao, Ming ; Zhang, Mingquan ; Wang, YU ; Lin, Yanzhuo. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:253:y:2025:i:c:s095183202400588x.

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2025Rapid computation of survival signature for dynamic fault tree based on sequential binary decision diagram and multidimensional array. (2025). Tao, Longlong ; Yao, Yuantao ; Sun, Ming ; Yong, Nuo ; Ge, Daochuan ; Wang, Shaoxuan ; Yu, Jie ; Xia, Dongqin. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:253:y:2025:i:c:s0951832024006240.

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2025A sound-vibration physical-information fusion constraint-guided deep learning method for rolling bearing fault diagnosis. (2025). Yingkui, GU ; Peng, Huang ; Puzhou, Wang ; Keshun, You. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:253:y:2025:i:c:s0951832024006288.

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2025SRSGCN: A novel multi-sensor fault diagnosis method for hydraulic axial piston pump with limited data. (2025). Liu, Siyuan ; Hou, Dongming ; Ai, Chao ; Wang, Xiangfeng ; Liang, Pengfei. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:253:y:2025:i:c:s0951832024006355.

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2025Failure time analysis for compound degradation procedures involving linear path and negative jumps. (2025). Liu, Chengrui ; Si, Xiaosheng ; Ouyang, Xiangmin ; Wu, Qiong ; Wang, Zhihua ; Cao, Shihao. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:253:y:2025:i:c:s0951832024006380.

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2025Fault Impulse Inference and Cyclostationary Approximation: A feature-interpretable intelligent fault detection method for few-shot unsupervised domain adaptation. (2025). Chin-Hon, Tan ; Li, Shaochen ; Zhang, Qing ; Shen, Jingyuan ; Xuan, Jianping ; Shi, Tielin ; Liu, Xiaofei. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:253:y:2025:i:c:s0951832024006409.

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2025Health management of power batteries in low temperatures based on Adaptive Transfer Enformer framework. (2025). Chen, Bingyang ; Liu, Chao ; Zeng, Xingjie ; Xu, Yafei ; Cao, Heling. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:254:y:2025:i:pa:s0951832024006847.

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2025Tensor Poincaré plot index: A novel nonlinear dynamic method for extracting abnormal state information of pumped storage units. (2025). Yang, Jiandong ; Zhao, Zhigao ; Chen, Fei ; Ding, Chen ; Hu, Xiaoxi ; Yin, Xiuxing. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:254:y:2025:i:pb:s0951832024006781.

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2025An uncertainty-incorporated active data diffusion learning framework for few-shot equipment RUL prediction. (2025). Gong, Daqing ; Xue, Gang ; Zhang, Chao. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:254:y:2025:i:pb:s0951832024007038.

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2025Pseudo-label assisted contrastive learning model for unsupervised open-set domain adaptation in fault diagnosis. (2025). Zhang, Zhipeng ; Li, Chao ; He, Shuilong ; Feng, Yong ; Wang, Weicheng ; Chen, Jinglong. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:254:y:2025:i:pb:s095183202400721x.

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2025Trustworthy Bayesian deep learning framework for uncertainty quantification and confidence calibration: Application in machinery fault diagnosis. (2025). Zhang, Tian ; Li, Hao ; Jiao, Jinyang ; Lin, Jing ; Liu, Zongyang. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:255:y:2025:i:c:s0951832024007282.

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2025A dynamic collaborative adversarial domain adaptation network for unsupervised rotating machinery fault diagnosis. (2025). Mu, Mingzhe ; Dong, Yutong ; Wang, Xin ; Jiang, Hongkai. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:255:y:2025:i:c:s0951832024007336.

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2025An integrated deep learning model for intelligent recognition of long-distance natural gas pipeline features. (2025). Kang, Hooi Siang ; Li, HE ; Wang, Lin ; Guo, Wannian ; Zheng, Shaocong. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:255:y:2025:i:c:s095183202400735x.

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2025Image-based remaining useful life prediction through adaptation from simulation to experimental domain. (2025). Yang, Lechang ; Wang, Zhe ; Xie, Min ; Zhang, Hanxiao ; Fang, Xiaolei. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:255:y:2025:i:c:s0951832024007397.

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2025Adaptive variational sampling-embedded domain generalization network for fault diagnosis with intra-inter-domain class imbalance. (2025). He, LI ; Zhong, Xingli ; Chen, Kai ; Shen, Changqing ; Zhu, Zhongkui ; Wang, Jun ; Huang, Weiguo ; Zhang, Xiao. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:256:y:2025:i:c:s0951832024007786.

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Works by Te Han Sr.:

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2025Causal neural network for carbon prices probabilistic forecasting In: Applied Energy.
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2024Uncertainty-aware deep learning for reliable health monitoring in safety-critical energy systems In: Energy.
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2024Semi-supervised adversarial deep learning for capacity estimation of battery energy storage systems In: Energy.
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