您当前的位置:
首页 >
文章列表页 >
Study on Induced Draft Fan Fault Warning of Thermal Power Unit Based on Big Data Analysis
Power Generation and Environmental Protection | 更新时间:2025-06-06
    • Study on Induced Draft Fan Fault Warning of Thermal Power Unit Based on Big Data Analysis

    • “In the field of fault warning for induced draft fans in thermal power units, experts have established a state prediction model for induced draft fans based on big data analysis, designed a warning system, and developed a visual interface to achieve effective fault warning.”
    • Power Generation Technology   Vol. 44, Issue 4, Pages: 557-564(2023)
    • DOI:10.12096/j.2096-4528.pgt.21111    

      CLC: TK 261
    • Received:01 January 2022,

      Published:31 August 2023

    移动端阅览

  • AN Jizhen,ZHENG Fuhao,LIU Yifan,et al.Study on Induced Draft Fan Fault Warning of Thermal Power Unit Based on Big Data Analysis[J].Power Generation Technology,2023,44(04):557-564. DOI: 10.12096/j.2096-4528.pgt.21111.

  •  
  •  

0

Views

0

下载量

1

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Pressure Difference Prediction of Air Preheater in Coal-Fired Power Plant Based on BP Neural Network and Support Vector Regression
Integrated Modeling Study of Desulfurization in Circulating Fluidized Bed Boilers Under Wide Load Conditions
Research on Auto-Coupling PID Control Method of Firing Rate to Feed Water Ratio System of Supercritical Unit
Performance Prediction Method for Air Cooling System of Thermal Power Unit Considering Weather Effect
Research on Predictive Maintenance Mode of Air Preheater Based on Digital Twin

Related Author

SU Jingcheng
WANG Zhiqiang
QU Jiangjiang
ZHANG Kai
ZHANG Shuaining
GAO Mingming
WANG Yongquan
WANG Weihua

Related Institution

Huadian Electric Power Research Institute Co., Ltd.
School of Energy and Power Engineering, Shandong University
Department of Energy and Power Engineering, Tsinghua University, Haidian District
State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources (North China Electric Power University), Changping District
Hunan Zhezhao Automation Control Technology Co., Ltd.
0