Cavitation State Recognition Method of Hydraulic Turbine Based on Energy-Entropy Features and Improved Stacked Denoising Auto Encoder

LIU Zhen; LIU Zhong; ZOU Shuyun; ZHOU Zehua; QIAO Shuaicheng

doi:10.12096/j.2096-4528.pgt.260116

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Cavitation State Recognition Method of Hydraulic Turbine Based on Energy-Entropy Features and Improved Stacked Denoising Auto Encoder

Power Generation and Environmental Protection | 更新时间：2026-06-03

- Cavitation State Recognition Method of Hydraulic Turbine Based on Energy-Entropy Features and Improved Stacked Denoising Auto Encoder
- Cavitation State Recognition Method of Hydraulic Turbine Based on Energy-Entropy Features and Improved Stacked Denoising Auto Encoder
- LIU Zhen ，LIU Zhong ，ZOU Shuyun ，ZHOU Zehua ，QIAO Shuaicheng
- 发电技术（英文版） 2026年47卷第1期页码：176-184
- 作者机构：
  School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan Province, China
- 作者简介：
  LIU Zhen (1998), male, Master’s Candidate. Research interests focus on condition monitoring and fault diagnosis of hydraulic machinery. Email: 1203235718@qq.com
  LIU Zhong (1978), male, Ph.D., Professor. Research interests focus on condition monitoring and fault diagnosis of hydraulic machinery. Corresponding author. Email: drliuzhong@csust.edu.cn
  ZOU Shuyun (1979), female, Master’s Degree, Lecturer. Research interests focus on internal flow and optimization design of fluid machinery. Email: cslgdxzsy@csust.edu.cn
  ZHOU Zehua (1999), male, Master’s Candidate. Research interests focus on condition monitoring and fault diagnosis of hydraulic machinery. Email: 93748226@qq.com
  QIAO Shuaicheng (1998), male, Master’s Candidate. Research interests focus on condition monitoring and fault diagnosis of hydraulic machinery. Email: 1771862910@qq.com
- 基金信息：
  National Natural Science Foundation of China(52079011);Natural Science Foundation of Hunan Province(2023JJ30032)
- DOI： 10.12096/j.2096-4528.pgt.260116
  中图分类号：
- 修回：2025-08-31 ，
- 稿件说明：
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