张泽辉

[1].   国家自然科学基金项目(52401376): 复杂运行环境下船用燃料电池故障预测与安全防控智能方法，2025.01-2028.12，30万, 主持

[2].    国家重点研发项目(2024YFB4207200) :大型海上风电场智能运维关键技术及应用，2025.01-2029.12, 负责面向海上风电运维的多模态AI大模型子课题

[3]    杭州市重点科研计划项目(2024SZD1A24): 基于行业大数据的智能决策关键技术研究和应用--基于电力大数据，2024.01-2026.12, 课题一负责人

[4]    浙江省属高校基本科研业务费专项资金资助(GK259909299001-407):基于AI大模型的储能电站安全管控系统，2024.11-2026.11，主持

[5].   浙江省基础公益研究计划项目(LTGG24F030004): 基于计算机视觉的化工企业人员不安全行为识别技术与系统研发，2024.01-2026.12，10万, 主持

[6].   国家水运安全工程技术研究中心开放基金项目(A202403): 基于物联网的船舶机舱作业智能安全管控技术，2024.01-2026.12，2万，主持

[7].    钱塘区“创新驱动促转型高校博士进企业”项目：基于人工智能大模型的xxx参数标定技术研究，2025.05-2026.05，主持

[1].    Zhang Zehui, Ningxin He, Huo Weiwei, et al. Privacy preserving federated learning for proton exchange membrane fuel cell [J]. Renewable and Sustainable Energy Reviews,Volume 212, April 2025, 115407.https://doi.org/10.1016/j.rser.2025.115407 (IF: 16.3, JCR Q1,中科院一区Top)

[2].    Xu Xiaobin, Wang Xiaochuang, Wu Fuling, Zhang Zehui*, et al. ERMOT: Evidence Reasoning-Based Robust Multiple Object Tracking Method[J]. IEEE Transactions on Industrial Informatics, 2024. (IF: 12.3, JCR Q1,中科院一区Top,唯一通讯作者)

[3].    Zhang Zehui, Dong Tianhang, Xu Xiaobin, et al. Multi‐step performance degradation prediction method for proton‐exchange membrane fuel cell stack using 1D convolution layer and CatBoost[J]. International Journal of Adaptive Control and Signal Processing. (IF: 3.9, JCR Q2,唯一通讯作者)

[4].    Zhang Zehui, He Ningxin, Li Qingdan, et al. DetectPMFL: Privacy-preserving momentum federated learning considering unreliable industrial agents[J]. IEEE transactions on industrial informatics, 2022, 18(11): 7696-7706. (IF: 12.3, JCR Q2, 第一作者)

[5].    He Ningxin⁺, Zhang Zehui⁺, Wang Xiaotian, et al. Efficient Privacy-Preserving Federated Deep Learning for Network Intrusion of Industrial IoT[J]. International Journal of Intelligent Systems, 2023, 2023. (IF: 7, JCR Q1,中科院二区Top,共同一作)

[6].    Zhang Zehui, He Ningxin, Li Dongyu, et al. Federated transfer learning for disaster classification in social computing networks[J]. Journal of safety science and resilience, 2022, 3(1): 15-23. (CiteScore: 6.4,Scopus和FMS管理科学高质量期刊推荐列表收录)

[7].    Zhang Zehui, Guan Cong, Chen Hui, et al. Adaptive privacy-preserving federated learning for fault diagnosis in internet of ships[J]. IEEE internet of things journal, 2021, 9(9): 6844-6854. (IF 10.6, JCR Q1,中科院一区Top,第一作者)

[8].    Zhang Zuhui, Xu Xiaobin, Gong Wenfeng, et al. Efficient federated convolutional neural network with information fusion for rolling bearing fault diagnosis[J]. Control Engineering Practice, 2021, 116: 104913. (IF 4.9, JCR Q2, 中科院二区,第一作者)

[9].    Chen Hui, Zhang Zehui, Guan Cong, et al. Optimization of sizing and frequency control in battery/supercapacitor hybrid energy storage system for fuel cell ship[J]. Energy, 2020, 197: 117285. (与导师共同一作, IF 9, JCR Q1, 中科院一区Top)

[10].Zuo Bin, Zhang Zehui, Cheng Junsheng, et al. Data-driven flooding fault diagnosis method for proton-exchange membrane fuel cells using deep learning technologies[J]. Energy Conversion and Management, 2022, 251: 115004. (通讯作者, IF 11.53, JCR Q1, 中科院一区Top)

[11].Zuo Bin, Cheng Junsheng, Zhang Zehui. Degradation prediction model for proton exchange membrane fuel cells based on long short-term memory neural network and Savitzky-Golay filter[J]. International Journal of Hydrogen Energy, 2021, 46(29): 15928-15937. (通讯作者, IF 7.2, JCR Q1, 中科院二区)

[12].Huo Weiwei, Li Weier, Zhang Zehui, et al. Performance prediction of proton-exchange membrane fuel cell based on convolutional neural network and random forest feature selection[J]. Energy Conversion and Management, 2021, 243: 114367.  (唯一通讯作者, IF 11.53, JCR Q1, 中科院一区Top)