您当前的位置：
首页 >
文章列表页 >
Reconstruction of Temperature Distribution in Acoustic Tomography Based on Robust Regularized Extreme Learning Machine
Power Generation and Environmental Protection | 更新时间：2025-07-29

    • Reconstruction of Temperature Distribution in Acoustic Tomography Based on Robust Regularized Extreme Learning Machine

    • “In the field of industrial process monitoring, experts have proposed an acoustic tomography temperature distribution reconstruction method based on robust regularized extreme learning machine, providing a new solution for high-resolution temperature monitoring of equipment such as power plant boilers.”
    • Power Generation Technology   Vol. 46, Issue 2, Pages: 361-369(2025)

    • DOI：10.12096/j.2096-4528.pgt.23115    

      CLC： TK 31

    • Received：14 September 2024，

      Revised：2024-10-20，

      Published：30 April 2025

    移动端阅览

  • ZHANG Lifeng,DONG Xianghu.Reconstruction of Temperature Distribution in Acoustic Tomography Based on Robust Regularized Extreme Learning Machine[J].Power Generation Technology,2025,46(02):361-369. DOI： 10.12096/j.2096-4528.pgt.23115.

  •  
  •  

0

Views

0

下载量

0

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

Study on Numerical Simulation of Dynamic Deposition and Shedding Characteristics of Zhundong Coal Ash
Numerical Simulation Study on Effect of Deflectors on Aerodynamic Characteristics of Horizontal Axis Wind Turbines
Numerical Simulation of Fly Ash Deposition Characteristics and Flow Field Optimization for SCR External Flue
Thermal Stress Analysis of Transversally Corrugated Tube in Solar Receiver Under Semi-Circumference Heating
Kinetic Characterization and NOx Reduction Mechanism of Mixed Ammonia-Hydrogen Combustion in Cyclone Combustor

Related Author

GUO Qianxin
LI Jianbo
WANG Hu
LIANG Yintang
HAN Xinjian
RUAN Xiongwei
LU Xiaofeng
ZHANG Lidong

Related Institution

Key Laboratory of Low-Grade Energy Utilization Technology and System (Chongqing University), Ministry of Education, Shapingba District
Guoshen Technical Support Center, CHN ENERGY Investment Group Co., Ltd.
Jilin Longyuan New Energy Co., Ltd.
Longyuan (Beijing) New Energy Engineering Technology Co., Ltd., Xicheng District
School of Energy and Power Engineering, Northeast Electricity Power University
0