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付文龙导师简介

点击: 发布人: 发布时间:2016-09-01 00:00:00

职称:副教授

研究学科:电气工程

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。

个人简况:男,博士,硕士生导师。以第一/通讯作者发表SCI/EI论文近20篇,第一作者发表ESI高被引论文4篇,获省科技进步三等奖1项。 近年来主持包括国家自然科学基金在内的纵向项目3项、参与国家自然科学基金、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。主讲《水电站仿真》、《电力系统分析》、《自动控制原理》等主要课程,注重学生科研能力的培养,讲课风格深受学生喜爱。连续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。具有编程能力,熟悉Javasolidworksunity等软件可优先考虑。


近五年主持或参与的主要科研项目:

1、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,主持

2、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,主持

3、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,主持

4、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,参与

5、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,参与

6、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,参与

7、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,参与

8、水力发电机组状态诊断系统研究,南京南瑞水电公司,参与

近三年代表性论文:

1Wenlong Fu, Kai Wang, et al. Multi-step short-term wind speed forecasting approach based on multi-scale dominant ingredient chaotic analysis, improved hybrid GWO-SCA optimization and ELM. Energy Conversion and Management, 2019, 187: 356-377. (SCI刊源,一区top, ESI高被引)

2Wenlong Fu, Jiawen Tan, et al. Blind parameter identification of MAR model and mutation hybrid GWO-SCA optimized SVM for fault diagnosis of rotating machinery. Complexity, 2019, 2019: 3264969. (SCI刊源, ESI高被引)

3Wenlong Fu, Kai Wang, et al. A hybrid approach for multi-step wind speed forecasting based on multi-scale dominant ingredient chaotic analysis, KELM and synchronous optimization strategy. Sustainability, 2019, 11(6): 1804. (SCI刊源, ESI高被引)

4Wenlong Fu, Kai Wang, et al. Vibration trend measurement for a hydropower generator based on optimal variational mode decomposition and an LSSVM improved with chaotic sine cosine algorithm optimization. Measurement Science and Technology, 2019, 30(1): 015012. (SCI刊源, ESI高被引)

5Wenlong Fu, Kai Wang, et al. 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. Energy Conversion and Management, 2020, 205: 112461. (SCI刊源,一区top)

6Wenlong Fu, Kaixuan Shao, et al. Fault Diagnosis for Rolling Bearings Based on Composite Multiscale Fine-Sorted Dispersion Entropy and SVM with Hybrid Mutation SCA-HHO Algorithm Optimization. IEEE Access, 2020, 8(1): 13086-13104. (SCI刊源)

7Wenlong Fu, Kai Wang, et al. Vibration Tendency Prediction Approach for Hydropower Generator Fused with Multi-Scale Dominant Ingredient Chaotic Analysis, Adaptive Mutation Grey Wolf Optimizer and KELM. Complexity, 2020, 2020: 4516132. (SCI刊源)

8Wenlong Fu, Kai Wang, et al. 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. Transactions of the Institute of Measurement and Control, 2019, 41(15): 4436-4449. (SCI刊源)

9Jiawen Tan, Wenlong Fu*, 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. Applied Sciences, 2019, 9(8): 1676. (SCI刊源)

10Jianzhong Zhou, Wenlong Fu*, et al. Fault diagnosis of generator unit based on a novel weighted support vector data description with fuzzy adaptive threshold decision. Transactions of the Institute of Measurement and Control, 2018, 40(1): 71-79. (SCI刊源)

学生培养及所获荣誉:指导研究生获国家奖学金2项、发表SCI/EI/ESI高被引论文多篇、获硕士学位论文培优基金2项、全国性竞赛一等奖2项、二等奖2项。

联系电话13618680447

Emailctgu_fuwenlong@126.com

欢迎电气、自动化、数学、计算机、机械等相关专业的同学报考!

 

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