Te Han Sr. : Citation Profile

Are you Te Han Sr.?

Beijing Institute of Technology

3

H index

3

i10 index

49

Citations

RESEARCH PRODUCTION:

7

Articles

RESEARCH ACTIVITY:

   3 years (2020 - 2023). See details.
   Cites by year: 16
   Journals where Te Han Sr. has often published
   Relations with other researchers
   Recent citing documents: 32.    Total self citations: 2 (3.92 %)

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   Permalink: http://citec.repec.org/pha1518
   Updated: 2024-04-18    RAS profile: 2023-06-21    
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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 Safety5

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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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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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]		article3
2021Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression In: Reliability Engineering and System Safety.
[Full Text][Citation analysis]		article10
2022Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework In: Reliability Engineering and System Safety.
[Full Text][Citation analysis]		article17
2022Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles In: Reliability Engineering and System Safety.
[Full Text][Citation analysis]		article14
2023An uncertainty-informed framework for trustworthy fault diagnosis in safety-critical applications In: Reliability Engineering and System Safety.
[Full Text][Citation analysis]		article0
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.
[Full Text][Citation analysis]		article2
2020Fault Prognostics for Photovoltaic Inverter Based on Fast Clustering Algorithm and Gaussian Mixture Model In: Energies.
[Full Text][Citation analysis]		article3

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