Te Han Sr. : Citation Profile


Are you Te Han Sr.?

Beijing Institute of Technology

5

H index

5

i10 index

93

Citations

RESEARCH PRODUCTION:

10

Articles

RESEARCH ACTIVITY:

   4 years (2020 - 2024). See details.
   Cites by year: 23
   Journals where Te Han Sr. has often published
   Relations with other researchers
   Recent citing documents: 65.    Total self citations: 3 (3.13 %)

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   Permalink: http://citec.repec.org/pha1518
   Updated: 2024-11-08    RAS profile: 2024-08-09    
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Relations with other researchers


Works with:

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:

Kaymak, Uzay (1)

Main data


Where Te Han Sr. has published?


Journals with more than one article published# docs
Reliability Engineering and System Safety6
Energy3

Recent works citing Te Han Sr. (2024 and 2023)


YearTitle of citing document
2023Hybrid deep neural network with dimension attention for state-of-health estimation of Lithium-ion Batteries. (2023). Chen, Yangquan ; Li, Penghua ; Xie, Siqiang ; Lopes, Antonio M ; Bao, Xinyuan. In: Energy. RePEc:eee:energy:v:278:y:2023:i:c:s0360544223011283.

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2023.

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2024Capacity prediction of lithium-ion batteries with fusing aging information. (2024). Lu, Languang ; Sun, Xiaoyan ; Yu, Chuanqiang ; Han, Xuebing ; Tang, Shengjin ; Wang, Fengfei ; Ouyang, Minggao. 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). Tan, Yong ; Yan, Fuwu ; Hu, Yuanzhi ; Xu, Yuchen ; Huang, Yukun ; Tang, Aihua ; Yu, Quanqing ; Jin, Xin. 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). Hasanien, Hany M ; Alqahtani, Ayedh H ; Fahmy, Hend M. 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). Gao, Jinwu ; Li, Jiaqi ; Ma, Yan ; 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). Zhou, Xing ; Ji, Chunhui ; Zhang, Ran ; Liu, Yajie ; Pan, Zhengqiang ; Jin, Guang. 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). Kim, Jonghoon ; Sin, Seunghwa. In: Energy. RePEc:eee:energy:v:297:y:2024:i:c:s0360544224010582.

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2023Reliable neural networks for regression uncertainty estimation. (2023). Youcef-Toumi, Kamal ; Vanslette, Kevin ; Tohme, Tony. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:229:y:2023:i:c:s0951832022004306.

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2023A convex two-dimensional variable selection method for the root-cause diagnostics of product defects. (2023). Fang, Xiaolei ; Zhou, Chengyu. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:229:y:2023:i:c:s095183202200446x.

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2023A generic physics-informed neural network-based framework for reliability assessment of multi-state systems. (2023). Mosleh, Ali ; Droguett, Enrique Lopez ; Zhang, Xiaoge ; Zhou, Taotao. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:229:y:2023:i:c:s0951832022004537.

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2023Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis. (2023). Li, Xiang ; Wang, Ziwei ; Zhang, Wei. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:229:y:2023:i:c:s0951832022005026.

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2023Scenario inference model of urban metro system cascading failure under extreme rainfall conditions. (2023). Guo, LI ; Dong, Xiaobin ; Yang, Zhen. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:229:y:2023:i:c:s0951832022005051.

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2023Controlled generation of unseen faults for Partial and Open-Partial domain adaptation. (2023). Fink, Olga ; Michau, Gabriel ; Rombach, Katharina. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:230:y:2023:i:c:s0951832022004744.

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2023Intelligent fault diagnosis of bevel gearboxes using semi-supervised probability support matrix machine and infrared imaging. (2023). Shao, Haidong ; Yan, KE ; Li, Yong ; Lin, Janet. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:230:y:2023:i:c:s0951832022005361.

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2023PERL: Probabilistic energy-ratio-based localization for boiler tube leaks using descriptors of acoustic emission signals. (2023). Kim, Sungjong ; Yoon, Heonjun ; Na, Kyumin ; Youn, Byeng D. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:230:y:2023:i:c:s0951832022005385.

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2023A degradation-shock dependent competing failure processes based method for remaining useful life prediction of drill bit considering time-shifting sudden failure threshold. (2023). Gao, Hongli ; Guo, Liang ; Li, Shichao ; Feng, Tingting ; Yu, Yaoxiang ; Chen, Tao. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:230:y:2023:i:c:s095183202200566x.

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2023Correlation feature distribution matching for fault diagnosis of machines. (2023). Yang, Chengxing ; Ma, Wen ; Xie, Suchao ; Tan, Hongchuang ; Zheng, Shiwei. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:231:y:2023:i:c:s0951832022005968.

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2023Data-driven lightning-related failure risk prediction of overhead contact lines based on Bayesian network with spatiotemporal fragility model. (2023). Zhang, Dongkai ; Yu, Long ; Gao, Shibin ; Wang, Jian ; Kou, Lei ; Chen, KE ; Xie, Chenlin. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:231:y:2023:i:c:s0951832022006317.

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2023Intelligent fault diagnosis of rotating machinery using a multi-source domain adaptation network with adversarial discrepancy matching. (2023). Yi, Zichun ; Wu, Zhenghong ; Jiang, Hongkai ; Liu, Shaowei ; Wang, Ruixin. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:231:y:2023:i:c:s0951832022006512.

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2023A novel fault diagnosis framework for rotating machinery with hierarchical multiscale symbolic diversity entropy and robust twin hyperdisk-based tensor machine. (2023). Wang, Jian ; Cheng, Junsheng ; Zhu, Zuanyu ; Yang, YU ; Kang, Xin. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:231:y:2023:i:c:s0951832022006524.

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2023An uncertainty relevance metric-based domain adaptation fault diagnosis method to overcome class relevance caused confusion. (2023). Shi, Tielin ; Xuan, Jianping ; Tang, LV ; Zhang, Qing ; Li, Rui. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:231:y:2023:i:c:s095183202200655x.

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2023Statistical identification guided open-set domain adaptation in fault diagnosis. (2023). Chen, Xuefeng ; Zhang, Xingwu ; Zhao, Zhibin ; Yu, Xiaolei ; Cai, Jianbing. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:232:y:2023:i:c:s0951832022006627.

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2023Detecting wind turbine anomalies using nonlinear dynamic parameters-assisted machine learning with normal samples. (2023). Du, Bolun ; Xing, Zhikai ; He, Yigang ; Shao, Kaixuan. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:233:y:2023:i:c:s0951832023000078.

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2023Bioinspired membrane learnable spiking neural network for autonomous vehicle sensors fault diagnosis under open environments. (2023). Li, Yan-Fu ; Wang, Huan. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:233:y:2023:i:c:s0951832023000170.

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2023Digital twin aided adversarial transfer learning method for domain adaptation fault diagnosis. (2023). Ji, Shanshan ; Bao, Huaiqian ; Han, Baokun ; Liu, Zhiliang ; Zhang, Zongzhen ; Wang, Jinrui. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:234:y:2023:i:c:s0951832023000674.

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2023Domain augmentation generalization network for real-time fault diagnosis under unseen working conditions. (2023). Bian, Wenbin ; Ding, Xue ; Liu, Yang ; Xu, Meng ; Deng, Minqiang ; Shi, Yaowei. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:235:y:2023:i:c:s0951832023001035.

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2023A digital twin-enhanced semi-supervised framework for motor fault diagnosis based on phase-contrastive current dot pattern. (2023). Liu, Jie ; Tao, Zhiyu ; Huang, Yixiang ; Xia, Pengcheng. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:235:y:2023:i:c:s0951832023001710.

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2023Physics-guided, data-refined fault root cause tracing framework for complex electromechanical system. (2023). Wang, Zhen ; Gao, Jianmin ; Liu, Pengpeng ; Liang, Zeming ; Xu, Jinjin. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:236:y:2023:i:c:s0951832023002089.

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2023Improving fault tolerance in diagnosing power system failures with optimal hierarchical extreme learning machine. (2023). Mohamed, Ali Wagdy ; Fu, Xiaofan ; Xiong, Guojiang ; Yuan, Zixia. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:236:y:2023:i:c:s0951832023002144.

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2023Gradient aligned domain generalization with a mutual teaching teacher-student network for intelligent fault diagnosis. (2023). Li, Lei ; Yang, Jun ; Ma, Yulin. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:239:y:2023:i:c:s0951832023004301.

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2023Weighted domain separation based open set fault diagnosis. (2023). Chen, Xuefeng ; Wang, Chenxi ; Ma, Rui ; Yu, Xiaolei ; Zhao, YU ; Zhang, Xingwu. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:239:y:2023:i:c:s0951832023004325.

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2024Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection. (2024). Zheng, Yusheng ; Che, Yunhong ; Teodorescu, Remus ; Hu, Xiaosong ; Sui, Xin ; 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 ; Xue, Gang ; Gong, Daqing ; Ren, Long. 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). Feng, Yong ; Zhang, Xinwei ; Huang, Hong ; Wang, Jun ; Liu, Zijun ; Chen, Jinglong. 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). Jia, Minping ; Cao, Yudong ; Feng, KE ; Yan, Xiaoan ; Zhao, Xiaoli. 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). Yu, Long ; Gao, Shibin ; Wang, Jian ; Kou, Lei ; Zhang, Dongkai ; Neri, Ferrante ; 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). Miao, Jianguo ; Deng, Zihao. 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 ; He, Wei ; Yin, Xiuxian ; Li, Hongyu ; Zhou, Guohui ; Ma, Ning. 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 ; Huang, Kai ; Gao, Dawei ; Soares, Guedes C ; Ren, Zhijun ; Yan, KE. 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). Wang, Suiyan ; Tian, Jiaye ; Liang, Pengfei ; Yuan, Xiaoming. 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). Shu, Xing ; Chen, Zheng ; Zhao, Hongqian ; Liu, Yonggang ; Shen, Jiangwei ; Xiao, Renxin. 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 ; Galanopoulos, Georgios ; Eleftheroglou, Nick. 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 ; Liu, Huiyuan ; Wang, Jian ; Kou, Lei ; Zhang, Dongkai ; Yu, Long. 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 ; Floreale, Giovanni ; Zio, Enrico ; Rossetti, Paolo. 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). Sun, Muxia ; Wang, Huan ; Li, Yan-Fu. 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). Yang, Bixin ; Mao, Weilin ; Li, Jimeng ; Yu, Shancheng ; Tong, Kai ; Meng, Zong. 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). Wang, Huan ; Liu, Jiale. 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). Wan, Liangqi ; Cheng, Yongbo ; Dong, Manman. 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 ; Zhang, Jiusi ; Tian, Jilun ; Yin, Shen ; Luo, Hao ; Wu, Shimeng. 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). Zhou, Kai ; Shi, Luojie ; Su, Yunsheng ; Wang, Zequn ; 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). Wang, Yashuang ; Yu, Xiangyuan ; Guo, Yongfang ; 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). Choi, Joo-Ho ; Kim, Nam H ; Park, Hyungjun. 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). Tao, Qian ; Wang, Jia ; Zhao, Zeyun ; Chen, Yiyang ; 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). Miao, Qiuhua ; Zhuang, Jichao ; Cao, Yudong ; Ding, Peng ; Yan, Xiaoan ; Zhao, Xiaoli ; Feng, KE ; Jia, Minping. 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). Wu, Dehao ; Tao, Shijun ; Huang, Keke ; Gui, Weihua ; 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). Lu, Shixiang ; Shi, Baoxin ; Liu, Yuanhong ; Zhang, Fangfang ; Gao, Zhi-Wei. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:247:y:2024:i:c:s0951832024002096.

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2023Bioinspired spiking spatiotemporal attention framework for lithium-ion batteries state-of-health estimation. (2023). Li, Yan-Fu ; Wang, Huan ; Zhang, Ying. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:188:y:2023:i:c:s1364032123005853.

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2023A Novel Mode Un-Mixing Approach in Variational Mode Decomposition for Fault Detection in Wound Rotor Induction Machines. (2023). Kia, Shahin Hedayati ; Abolghasemi, Vahid ; Marzebali, Mohammad Hoseintabar ; Bazghandi, Reza. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:14:p:5551-:d:1200173.

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2023.

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Works by Te Han Sr.:


YearTitleTypeCited
2023Data-driven lithium-ion batteries capacity estimation based on deep transfer learning using partial segment of charging/discharging data In: Energy.
[Full Text][Citation analysis]
article11
2024Uncertainty-aware deep learning for reliable health monitoring in safety-critical energy systems In: Energy.
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article1
2024Semi-supervised adversarial deep learning for capacity estimation of battery energy storage systems In: Energy.
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article0
2021Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression In: Reliability Engineering and System Safety.
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article13
2022Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework In: Reliability Engineering and System Safety.
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article21
2022Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles In: Reliability Engineering and System Safety.
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article23
2023An uncertainty-informed framework for trustworthy fault diagnosis in safety-critical applications In: Reliability Engineering and System Safety.
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article5
2023Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis In: Reliability Engineering and System Safety.
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article16
2024A Bayesian adversarial probsparse Transformer model for long-term remaining useful life prediction In: Reliability Engineering and System Safety.
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article0
2020Fault Prognostics for Photovoltaic Inverter Based on Fast Clustering Algorithm and Gaussian Mixture Model In: Energies.
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article3

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