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

Your Location：

Home >

Browse articles >

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

Power Generation and Environmental Protection | Updated：2026-06-03

- 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
- Power Generation Technology Vol. 47, Issue 1, Pages: 176-184(2026)
- Affiliations：
  School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan Province, China
- Author bio：
  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
- Funds：
- DOI： 10.12096/j.2096-4528.pgt.260116
  CLC：
- Revised：2025-08-31 ，
- Accepted：
Scan QR Code
DOI：
DOI：

Full Text(HTML)
References
Publication Info
Metrics

摘要

Abstract

关键词

Keywords

references

9

Views

4

Downloads

0

CSCD

Alert me when the article has been cited

Submit

Tools

BibTeXDownload
EndnoteDownload
RefMan Download
NoteExpressDownload
NoteFirstDownload

Publicity Resources

Related Articles

Research on Key Technologies for Enhancing Large Language Model Capabilities in Power Grid Dispatch and Control

Research on Short-Term Photovoltaic Power Prediction Method Based on an Improved Rime Optimization Algorithm

Fault Diagnosis Method for Hydroturbine Units Based on Transformer and Multimodal Heterogeneous Feature Fusion

Fault Data Identification in Condition Monitoring Systems for Wind Turbine Generator Bearings Based on BERT Model

Application Research on Fiber-Optic Sensing Technology in Battery State of Charge and State of Health Monitoring

Related Author

No data

Related Institution

No data