职称：副教授

研究学科：电气工程、控制工程

主要研究方向：新能源发电系统综合建模、仿真与控制，状态监测与故障诊断，图像处理与模式识别，新能源发电预测、人工智能技术应用。

个人简况：男，博士，博士/硕士生导师, 楚天学者，三峡学者。主持国家自然科学基金等纵向项目7项，承担国网湖北电力公司、国网新源公司等科技项目多项，与华中科技大学、武汉大学、中国水科院等科研机构建立了良好的学术交流关系。以第一/通讯作者发表SCI/EI论文50余篇，10篇论文先后入选ESI高被引、热点论文，出版学术专著1部、授权专利5项；SCI期刊Frontiers in Energy Research、Sustainability客座主编，《水电与新能源》青年编委，《山东电力技术》专题主编，多个国内外权威期刊审稿人；入选三峡大学2021年度自然科学类“科研典型人物”（学术论文类）；2022-2024年三次入选全球前2%顶尖科学家榜单（美国斯坦福大学发布）；获2020年宜昌市自然科学优秀学术论文一等奖、2021年中国大坝工程学会科技进步二等奖、2022年IEEE PES能源发展与发电技术委员会特殊贡献奖、2024年长江技术经济学会科技进步二等奖；获2019年英国物理学会（IOP）出版社杰出审稿人奖、2022年英国物理学会（IOP）出版社2019-2021期刊论文top1%高被引论文奖、2019年第十二届全国水力机械及其系统学术会议优秀论文奖。

指导多届硕士研究生发表多篇包含一区SCI(top)、ESI高被引在内的高水平SCI/EI学术论文，科研团队学术氛围浓厚、团结奋进，欢迎做事认真踏实，态度端正的同学报考。英语读写优秀，具有编程能力，熟悉Java、solidworks、unity等软件可优先考虑。

主持或参与的主要科研项目：

1.        新能源集中控制和智慧运维研究技术协作，企业委托

2.        抽水蓄能电站远程状态及支撑电网能力模型研究，企业委托

3.        抽水蓄能机组振动故障机理及模型外委研究，企业委托

4.        主动配电网优化调度策略技术开发，企业委托

5.        基于机器学习的多模式数值预报产品误差智能校正研究，智慧长江与水电科学湖北省重点实验室开放基金

6.        基于深度人工智能的旋转机械故障诊断，湖北省互联网金融信息工程技术研究中心开放课题

7.        水电机组非线性振动故障诊断与混沌预测研究，水电机械设备设计与维护湖北省重点实验室开放基金

8.        水电站设备并行拆解序列规划研究，梯级水电站运行与控制湖北省重点实验室开放基金

9.        水电机组振动故障的定量诊断与多尺度混沌预测研究，国家自然科学基金

10.    水电机组微弱故障特征提取与定量诊断研究，宜昌市科技局基础研究项目

11.    面向新能源消纳的水电机组精细化建模与协同控制研究，梯级水电站运行与控制湖北省重点实验室开放基金

12.    密集水电与可再生新能源联合运行关键技术研究，湖北省技术创新专项重大项目

13.    水力发电机组复杂非线性动力学建模与诊断方法，国家自然科学基金

14.    抽水蓄能机组的集成故障诊断非线性预测控制研究，国家自然科学基金

15.    基于PMU或故障录波的中小水电机群等效模型辨识，国家电网湖北电力公司科技项目

第一/通讯作者发表SCI/EI论文：

1.        Wenlong Fu, YiHeng Gao, YunNing Zhang, et al. A Distributed Time-Varying Inherent Privacy-Preserving Consensus Algorithm for Integrated Energy Systems[J]. IEEE Transactions on Industrial Informatics, 2024, 21(2): 1180-1189.

2.        YunNing Zhang, Xun Tu, Wenlong Fu*, et al. A Novel Collusion Combination Cyberattack Strategy Against Integrated Energy System[J]. IEEE Transactions on Industrial Informatics, 2024, 20(11): 12669-12683.

3.        Wenlong Fu*, Bo Zheng, Shuai Li, et al. Batch channel normalized-CWGAN with Swin Transformer for imbalanced data fault diagnosis of rotating machinery[J]. Measurement Science and Technology, 2024, 36(1): 016207.

4.        Weiqing Liao, Ke Yang, Wenlong Fu*, et al. A review: the application of generative adversarial network for mechanical fault diagnosis[J]. Measurement Science and Technology, 2024, 35(6): 062002.

5.        Weiqing Liao, Wenlong Fu*, Ke Yang, et al. Multi-scale residual neural network with enhanced gated recurrent unit for fault diagnosis of rolling bearing[J]. Measurement Science and Technology, 2024, 35(5): 056114.

6.        Wenlong Fu, Yupeng Chen, Hongyan Li, et al. Imbalanced fault diagnosis using conditional Wasserstein generative adversarial networks with switchable normalization[J]. IEEE SENSORS JOURNAL, 2023, 23: 29119-29130.

7.        Wenlong Fu, Yuchen Fu, Bailing Li, et al. A compound framework incorporating improved outlier detection and correction, VMD, weight-based stacked generalization with enhanced DESMA for multi-step short-term wind speed forecasting[J]. Applied Energy, 2023, 348: 121587.

8.        Pan Xu, Wenlong Fu*, Qipeng Lu, et al. Stability analysis of hydro-turbine governing system with sloping ceiling tailrace tunnel and upstream surge tank considering nonlinear hydro-turbine characteristics[J]. Renewable Energy, 2023, 210: 556-574.

9.        Wenlong Fu, Xiaohui Jiang, Bailin Li, et al. Rolling bearing fault diagnosis based on 2D time-frequency images and data augmentation technique[J]. Measurement Science and Technology, 2023, 34(4): 045005.

10.    Yunning Zhang, Xuexin Xie, Wenlong Fu*, et al. An optimal combining attack strategy against economic dispatch of integrated energy system[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2023, 70(1): 246-250.

11.    Yunning Zhang, Le Wei, Wenlong Fu*, et al. Secondary frequency control strategy considering DoS attacks for MTDC system[J]. Electric Power Systems Research, 2023, 214: 108888.

12.    Wenlong Fu, Xing Liu, Fanwu Chu, et al. A disassembly sequence planning method with improved discrete grey wolf optimizer for equipment maintenance in hydropower station[J]. Journal of Supercomputing, 2023, 79(4): 4351-4382. (IF: 2.557, JCR二区)

13.    Panqi Wu, Huanhe Wang, Bailin Li*, Wenlong Fu*, et al. Disassembly sequence planning and application using simplified discrete gravitational search algorithm for equipment maintenance in hydropower station[J]. Expert Systems with Applications, 2022, 208:118046. (IF: 8.665, JCR一区)

14.    Wenlong Fu*, Feng Zou, Baojia Chen, et al. Vibration trend measurement of hydropower generating unit based on KELM optimized with HSMAHHO algorithm and error correction[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2022: 236(16): 9367-9383. (IF: 1.758, JCR三区)

15.    Wenlong Fu*, Xiaohui Jiang, Chao Tan*, et al. Rolling bearing fault diagnosis in limited data scenarios using feature enhanced generative adversarial networks. IEEE Sensors Journal, 2022, 22(9): 8749-8759. (IF: 4.325, JCR一区)

16.    Ping Fang, Wenlong Fu*, Kai Wang, et al. A compositive architecture coupling outlier correction, EWT, nonlinear Volterra multi-model fusion with multi-objective optimization for short-term wind speed forecasting[J]. Applied Energy, 2022, 307: 118191. (IF: 11.446, JCR一区TOP)

17.    Yunning Zhang, Zheng Lian, Wenlong Fu*, et al. An ESR quasi-online identification method for the fractional-order capacitor of forward converters based on variational mode decomposition[J]. IEEE Transactions on Power Electronics, 2022, 37(4): 3685-3690. (IF: 5.967, JCR一区, ESI高被引、热点)

18.    Wenlong Fu*, Ping Fang, Kai Wang, et al. Multi-step ahead short-term wind speed forecasting approach coupling variational mode decomposition, improved beetle antennae search algorithm-based synchronous optimization and Volterra series model[J]. Renewable Energy, 2021, 179: 1122-1139. (IF: 8.634, JCR一区)

19.    Huibin Shi, Wenlong Fu*, Bailin Li*, et al. Intelligent Fault Identification for Rolling Bearings Fusing Average Refined Composite Multiscale Dispersion Entropy-Assisted Feature Extraction and SVM with Multi-Strategy Enhanced Swarm Optimization[J]. Entropy, 2021, 23(5): 527. (IF: 2.738, JCR二区)

20.    Kaixuan Shao, Wenlong Fu*, Jiawen Tan, et al. Coordinated approach fusing time-shift multiscale dispersion entropy and vibrational Harris hawks optimization-based SVM for fault diagnosis of rolling bearing[J]. Measurement, 2021, 173: 108580. (IF: 5.131, JCR一区, ESI高被引)

21.      Wenlong Fu*, Kai Zhang, Kai Wang, Bin Wen, Ping Fang, Feng Zou. A hybrid approach for multistep wind speed forecasting based on two-layer decomposition, improved hybrid DE-HHO optimization and KELM[J]. Renewable Energy, 2021, 164: 211-229. (IF: 8.634, JCR一区, ESI高被引)

22.    Dongzhen Xiong, Wenlong Fu*, Kai Wang, Ping Fang, Tie Chen, Feng Zou. A blended approach incorporating TVFEMD, PSR, NNCT-based multi-model fusion and hierarchy-based merged optimization algorithm for multi-step wind speed prediction[J]. Energy Conversion and Management, 2021, 230: 113680. (IF: 11.533, JCR一区TOP)

23.    Kai Wang, Wenlong Fu*, Tie Chen, et al. A compound framework for wind speed forecasting based on comprehensive feature selection, quantile regression incorporated into convolutional simplified long short-term memory network and residual error correction[J]. Energy Conversion and Management, 2020, 222: 113234. (IF: 11.533, JCR一区TOP)

24.    Ruoheng Wang, Chaoshun Li*, Wenlong Fu*, et al. Deep Learning Method Based on Gated Recurrent Unit and Variational Mode Decomposition for Short-Term Wind Power Interval Prediction[J]. IEEE Transactions on Neural Networks AND Learning Systems, 2020, 31 (10): 3814-3827. (IF: 14.255, JCR一区TOP)

25.    Wenlong Fu*, QiPeng Lu. Multiobjective Optimal Control of FOPID Controller for Hydraulic Turbine Governing Systems Based on Reinforced Multiobjective Harris Hawks Optimization Coupling with Hybrid Strategies[J]. Complexity, 2020, 2020: 9274980. (IF: 2.121, JCR二区)

26.    Wenlong Fu*, Kai Wang, Jiawen Tan, et al. Vibration tendency prediction approach for hydropower generator fused with multiscale dominant ingredient chaotic analysis, adaptive mutation grey wolf optimizer, and KELM[J]. Complexity, 2020, 2020: 4516132. (IF: 2.121, JCR二区, ESI高被引)

27.    Wenlong Fu*, Kai Wang, Jiawen Tan, Kai Zhang. A composite framework coupling multiple feature selection, compound prediction models and novel hybrid swarm optimizer-based synchronization optimization strategy for multi-step ahead short-term wind speed forecasting[J]. Energy Conversion and Management, 2020, 205: 112461. (IF: 11.533, JCR一区TOP, ESI高被引)

28.    Feng Zou, Wenlong Fu*, Ping Fang, et al. A Hybrid Model Based on Multi-Stage Principal Component Extraction, GRU Network and KELM for Multi-Step Short-Term Wind Speed Forecasting[J]. IEEE Access, 2020, 8: 222931-222943. (IF: 3.476, JCR二区)

29.      Wenlong Fu*, Kaixuan Shao, Jiawen Tan, Kai Wang. Fault Diagnosis for Rolling Bearings Based on Composite Multiscale Fine-Sorted Dispersion Entropy and SVM with Hybrid Mutation SCA-HHO Algorithm Optimization[J]. IEEE Access, 2020, 8: 13086-13104. (IF: 3.476, JCR二区, ESI高被引)

30.    Wenlong Fu*, Kai Wang, Chu Zhang, Jiawen Tan. A hybrid approach for measuring the vibrational trend of hydroelectric unit with enhanced multi-scale chaotic series analysis and optimized least squares support vector machine[J]. Transactions of the Institute of Measurement and Control, 2019, 41(15): 4436-4449. (IF: 2.146, JCR三区)

31.      Wenlong Fu*, Kai Wang, Chaoshun Li*, Jiawen Tan. Multi-step short-term wind speed forecasting approach based on multi-scale dominant ingredient chaotic analysis, improved hybrid GWO-SCA optimization and ELM[J]. Energy Conversion and Management, 2019, 187: 356-377. (IF: 11.533, JCR一区TOP, ESI高被引)

32.    Jiawen Tan, Wenlong Fu*, Kai Wang, et al. Fault diagnosis for rolling bearing based on semi-supervised clustering and support vector data description with adaptive parameter optimization and improved decision strategy[J]. Applied Sciences, 2019, 9(8): 1676. (IF: 2.838, JCR二区)

33.    Wenlong Fu*, Jiawen Tan, Yanhe Xu, et al. Fault diagnosis for rolling bearings based on fine-sorted dispersion entropy and SVM optimized with mutation SCA-PSO[J]. Entropy, 2019, 21(4): 404. (IF: 2.738, JCR二区)

34.    Wenlong Fu*, Kai Wang, Jianzhong Zhou*, et al. A hybrid approach for multi-step wind speed forecasting based on multi-scale dominant ingredient chaotic analysis, KELM and synchronous optimization strategy[J]. Sustainability, 2019, 11(6): 1804. (IF: 3.889, JCR二区, ESI高被引)

35.    Wenlong Fu*, Jiawen Tan, Xiaoyuan Zhang, Tie Chen, Kai Wang. Blind parameter identification of MAR model and mutation hybrid GWO-SCA optimized SVM for fault diagnosis of rotating machinery[J]. Complexity, 2019, 2019: 3264969. (IF: 2.121, JCR二区, ESI高被引)

36.    Wenlong Fu*, Kai Wang, Chaoshun Li*, Xiong Li, Yuehua Li, Hao Zhong. Vibration trend measurement for a hydropower generator based on optimal variational mode decomposition and an LSSVM improved with chaotic sine cosine algorithm optimization[J]. Measurement Science and Technology, 2019, 30(1): 015012. (IF: 2.398, JCR二区, ESI高被引)

37.    Wenlong Fu*, Jiawen Tan, Chaoshun Li*, Zubing Zou, et al. A Hybrid Fault Diagnosis Approach for Rotating Machinery with the Fusion of Entropy-Based Feature Extraction and SVM Optimized by a Chaos Quantum Sine Cosine Algorithm[J]. Entropy, 2018, 20(9): 626. (IF: 2.738, JCR二区)

38.    Jianzhong Zhou*, Wenlong Fu*, Yongchuan Zhang, Han Xiao, et al. Fault diagnosis of generator unit based on a novel weighted support vector data description with fuzzy adaptive threshold decision[J]. Transactions of the Institute of Measurement and Control, 2018, 40(1): 71-79. (IF: 2.146, JCR三区)

39.    Wenlong Fu*, Jianzhong Zhou, Yongchuan Zhang, Wenlong Zhu, et al. A state tendency measurement for a hydro-turbine generating unit based on aggregated EEMD and SVR[J]. Measurement Science and Technology, 2015, 26(12): 125008. (IF: 2.398, JCR二区)

40.    付文龙*, 孟嘉鑫, 张赟宁, 徐潘. 复杂遮荫下基于改进GWO的光伏多峰MPPT控制[J]. 太阳能学报, 2022, 录用. (EI)

41.    张赟宁, 韦乐, 付文龙*, 等. 考虑FDI攻击的MTDC系统分布式频率控制[J]. 电网技术, 2023, 47(02): 842-848. (EI)

42.    袁朝晖, 付文龙*, 李佰霖, 等. 基于多策略分割融合与形态特征辨识的变电站保护压板状态识别[J].电力系统保护与控制,2022, 50(01):98-106. (EI)

43.    付文龙*, 谭佳文, 王凯. 基于VMD散布熵与改进灰狼优化SVDD的轴承半监督故障诊断研究[J].振动与冲击,2019, 38(22):190-197. (EI)

44.    付文龙*, 谭佳文, 吴喜春, 等. 基于图像处理与形态特征分析的智能变电站保护压板状态识别[J].电力自动化设备,2019, 39(07):203-207. (EI)

45.    付文龙, 周建中, 李超顺, 等. 基于模糊K近邻支持向量数据描述的水电机组振动故障诊断研究[J].中国电机工程学报,2014, 34(32):5788-5795. (EI)

46.    付文龙, 周建中, 张勇传, 等. 基于OVMD与SVR的水电机组振动趋势预测[J].振动与冲击,2016, 35(08):36-40. (EI)

47.    周建中, 付文龙. 水电机组故障诊断及状态趋势预测理论与方法[M]. 武汉: 华中科技大学出版社, 2020

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