姓名：郑祥豪
性别：男
职称：讲师，硕导
学位：博士
电子邮件： xianghao.zheng@foxmail.com
教育工作经历
2012.09~2016.06 华北电力大学（北京） 能源与动力工程 学士
2016.09~2022.06 华北电力大学（北京） 动力工程及工程热物理 硕士、博士
2023~至今 太阳成 太阳集团见好就收9728 讲师
研究方向
1. 水泵水轮机（抽水蓄能机组）运行状态监测、智能流态识别、故障诊断
2. 信号处理算法、深度学习算法、大数据技术
科研简介
参与国家自然科学基金项目（雅砻江联合基金）、国家自然科学基金面上项目、国家重点研发计划等项目
代表性论著
[1] Zheng, X., Zhang, S., Zhang, Y.*, et al. Dynamic characteristic analysis of pressure pulsations of a pump turbine in turbine mode utilizing variational mode decomposition combined with Hilbert transform [J]. Energy, 2023, 280, p.128148.
[2] Zheng, X., Li, H., Zhang, S., et al. Hydrodynamic feature extraction and intelligent identification of flow regimes in vaneless space of a pump turbine using improved empirical wavelet transform and Bayesian optimized convolutional neural network [J]. Energy, 2023, 282, p.128705.
[3] Zheng, X., Lu, M., Li, H., et al. Dynamic feature extraction and recognition of flow states in vaneless space of a prototype reversible pump turbine in generating mode based on variational mode decomposition and energy index [J]. Journal of Energy Storage, 2022, 55, p.105821.
[4] Zheng, X., Zhang, Y.*, Li, J., et al. Influences of rotational speed variations on the flow-induced vibrational performance of a prototype reversible pump turbine in spin-no-load mode [J]. ASME Journal of Fluids Engineering, 2020, 142(1), p.011106.
[5] Zheng, X. and Zhang, Y*. De-noising of radiation pressure signal generated by bubble oscillation based on ensemble empirical mode decomposition [J]. Journal of Hydrodynamics, 2022, 34(5), pp.849-863.
[6] Zheng, X., Zhang, S., Zhang, Y.*, et al. Investigation on operational stability of main shaft of a prototype reversible pump turbine in generating mode based on ensemble empirical mode decomposition and permutation entropy [J]. Journal of Mechanical Science and Technology, 2022, 36(12), pp.6093-6105.
[7] Zheng, X., Zhang, Y.*, Zhang, Y. et al. Flow-Induced Instabilities of Reversible Pump Turbines [M]. Springer Cham, Switzerland, 2022. (ISBN: 978-3-031-18057-6)
[8] 张苏祺, 李浩, 张宇宁, 郑祥豪*等. 水泵水轮机复杂振动信号特征提取与智能识别 [J]. 水力发电学报, 2023, 42(12): 70-78.
