中级职称

 姓名：郑祥豪
 性别：男
 职称：校聘副研究员，硕士生导师
 学位：博士
 电子邮件： xianghao.zheng@foxmail.com

教育工作经历

2023年~至今 福州大学 电气工程与自动化学院 校聘副研究员

2016年~2022年 华北电力大学（北京） 电站设备状态监测与控制教育部重点实验室 硕士、博士

2012年~2016年 华北电力大学（北京） 能源与动力工程 学士

教学简介

本科生课程：《新能源发电技术》、《新能源与储能设备技术》

研究方向

1. 抽水蓄能机组、常规水轮发电机组运行状态监测、智能流态识别与故障诊断

2. 大数据技术、人工智能技术在能源电力行业的融合应用

科研项目

1. 国家自然科学基金委员会，青年科学基金项目（C类），主持

2. 福州大学科研启动项目，主持

3. 国家自然科学基金委员会，雅砻江联合基金项目，参与

获奖情况

1. 福州大学第二十七届青年教师“最佳一节课”教学竞赛二等奖

2. 中国电机工程学会电力科学技术进步奖三等奖：抽水蓄能机组状态感知与智能预警关键技术及应用（2/7）

3. 福建省高层次人才（C类）

学术兼职

1. 《水电站机电技术》期刊青年编委

2. 《Physics of Fluids》、《IET Renewable Power Generation》等期刊审稿人

代表性论著

[1] 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.

[2] 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.

[3] 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.

[4] Zheng, X., Zhang, S., Zhang, Y.*, et al. Generalized refined composite multiscale slope entropy and its application in analysis of pressure fluctuation signal of a prototype pump turbine [J]. Journal of Energy Storage, 2025, 130, p.117403.

[5] Zheng, X., He, Y., Yang, C., et al. Abnormal flow and mechanical fault diagnosis of a pumped storage hydropower unit based on wavelet synchrosqueezed transform and deep learning combined with explainable artificial intelligence technology [J]. Journal of Energy Storage, 2026, 171, p.122873.

[6] Zheng, X., Yang, C., Zeng, L., et al. Intensity recognition of vortex ropes in draft tube of a prototype pump turbine using an optimized CNN-BiLSTM framework with multi-head self-attention mechanism [J]. Journal of Energy Storage, 2025, 106, p.114910.

[7] 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.

[8] Zheng, X., Zeng, L., Yang, C., et al. Fault information detection of a pumped storage hydropower unit based on a multi-stage noise reduction scheme of swing signal [J]. Measurement Science and Technology, 2026, 37(26), p.266110.

[9] 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.

[10] 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.

[11] 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)

[12] Zhang, Y.*, Zheng, X., Li, J., et al. Experimental study on the vibrational performance and its physical origins of a prototype reversible pump turbine in the pumped hydro energy storage power station [J]. Renewable Energy, 2019, 130, pp.667-676.

[13] 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.