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

您当前的位置：

首页 >

文章列表页 >

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：
移动端阅览
DOI：
DOI：

HTML全文
参考文献
出版信息
数据统计

摘要

Abstract

关键词

Keywords

references

9

浏览量

4

下载量

0

CSCD

文章被引用时，请邮件提醒。

提交

工具集

BibTeX下载
Endnote下载
RefMan 下载
NoteExpress下载
NoteFirst下载

关联资源

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

Mechanical Stability Analysis of High-Temperature Superconducting D-Shaped Magnets and Toroidal Field Coils for Fusion

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

Research on Optimization of High-Flux Solar Furnace With Tilted Receiving Surface