· 海洋工程装备状态监测技术

· 海洋能技术

· 海空两栖机器人技术及其应用

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• 个人简介

• 钱鹏，博士，浙江大学“百人计划”研究员，博士生导师，入选浙江省引才计划（XX计划青年人才）。

   

  学习工作经历：

  2017年获得英国兰卡斯特大学工程学博士学位；

  2017-2019在英国布鲁内尔大学从事博士后研究；

  2019-2020在英国焊接研究所担任高级技术项目主管；

  2021年加入浙江大学海洋学院海洋工程与技术研究所担任百人计划研究员。

   

  研究成果：

  10篇代表性论文：

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• 1. P. Qian, B. Feng, H. Wen, X. Jiang, Y. Ying, Y, Si, and D. Zhang*, 'Maximum power point tracking for triboelectric nanogenerator based wave energy converters' . Nano Energy,  2022. 

• 2.   B. Feng, X. Liu, Y. Yin, Y. Si, D. Zhang, P. Qian*. “Research on the tandem arrangement of the ducted horizontal-axis tidal turbine”. Energy Conversion and Management, 2022.

  3.   X. Liu, B. Feng, D. Liu,Y. Wang, H. Zhao, D. Zhang, P. Qian*. “Study on two-rotor interaction of counter-rotating horizontal axis tidal turbine”. Energy, 2022, 241: 122839.

  4.   L. Li, Q. Jia, Z. Wan, Y. Zhang, P. Qian^*, and J. Li, 'Experimental and numerical investigation of effects of residual stress and its release on fatigue strength of typical FPSO-unit welded joint,' Ocean Engineering, vol. 196, p. 106858, 2020. 

  5.   P. Qian, X. Ma*, D. Zhang, and J. Wang, 'Data-driven condition monitoring approaches to improving power output of wind turbines' IEEE Transactions on Industrial Electronics, vol. 66, pp. 6012– 6020, 2019.

  6.   P. Qian, B. Feng, H. Liu, X. Tian, Y. Si, and D. Zhang*, ”Review on configuration and control methods of tidal current turbines” Renewable & Sustainable Energy Reviews，vol. 108, pp. 125– 139, 2019. 

  7. P. Qian, B. Feng, D. Zhang*, X. Tian, and Y. Si, ' IoT based approach to condition monitoring of the wave power generation system' IET Renewable Power Generation, vol. 13, pp. 2207 - 2214, 2019. 

  8.  P. Qian, D. Zhang*, X. Tian, Y. Si, and L. Li, 'A novel wind turbine condition monitoring method based on cloud computing' Renewable Energy, vol. 135, pp. 390– 398, 2018. 

  9.   L. Li, X. Gu, S. Sun, W. Wang, Z. Wan, and P. Qian*, 'Effects of welding residual stresses on the vibration fatigue life of a ship's shock absorption support' Ocean Engineering, vol. 170, pp. 237-245, 2018.
  

  10. P. Qian, X. Ma*, and P. Cross, 'Integrated data-driven model-based approach to condition monitoring of the wind turbine gearbox' IET Renewable Power Generation, vol. 11, p. 1177- 1185, 2017

  
  

• 研究生招生：

  团队研究方向主要包括：海洋技术与工程装备优化控制和大数据处理技术。欢迎电气工程、自动化、海洋工程、机械、信息工程等相关专业的毕业生报考研究生（博士及硕士）及博士后。

  欢迎感兴趣的同学发送 CV 至qianpeng16@zju.edu.cn