Your Location:
Home >
Browse articles >
Autoencoder-Based Modeling for Fouling Monitoring on Boiler Heating Surfaces
Intelligent Learning-Empowered Power Generation in New Power Systems | Updated:2026-07-24
    • Autoencoder-Based Modeling for Fouling Monitoring on Boiler Heating Surfaces

    • WANG Ke , WANG Xinyue , TAN Peng , ZHANG Cheng , FANG Qingyan , CHEN Gang
    • Power Generation Technology Vol. 47, Issue 3, Pages: 546-554(2026)
    • DOI: 10.12096/j.2096-4528.pgt.260308     

      CLC:
    • Revised:2025-08-21 ,

    Scan QR Code

  •  
  •  
  • Full Text(HTML)

  • Figs( 8 ) Tabs( 1 )

  • References

  • Publication Info

  • Metrics

Sections
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >

7

Views

8

Downloads

0

CSCD

Alert me when the article has been cited
Submit
Tools
  • BibTeXDownload
  • EndnoteDownload
  • RefMan Download
  • NoteExpressDownload
  • NoteFirstDownload

Related Articles

Thermodynamic Analysis of Carbon Capture Coal-Fired Cogeneration System Integrated With Compressed Carbon Dioxide Energy Storage
Multi-Objective Prediction Model for Combustion State of Biomass Circulating Fluidized Bed Boiler Based on Multi-Scale Feature Fusion Enhanced Neural Network
Research on Performance Optimization of Transient Load Change Process in Coal-Fired Power Units
YOLOv5m and Segment Anything Model Collaborative Segmentation Method for Rapid and Accurate Detection of Incoming Coal Particle Size in Thermal Power Plants
Climate-Adaptive Power Systems Empowered by Large Language Models: Challenges and Perspectives

Related Author

YANG Kaibo
LIU Ming
YAN Junjie
CHEN Zheng’an
ZHAO Xuanhao
MAI Xiaofeng
ZHONG Weiwen
WEI Shuai

Related Institution

School of Energy and Power Engineering, Xi'an Jiaotong University
Guangdong Yudean Zhanjiang Biomass Power Co., Ltd.
School of Electric Power Engineering, South China University of Technology
State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University
China Energy Digital Technology Group Co., Ltd., Chaoyang District