您当前的位置：
首页 >
文章列表页 >
NOx content prediction based on principal component analysis and multivariable process monitoring
更新时间：2025-09-28

    • NOx content prediction based on principal component analysis and multivariable process monitoring

    • Thermal Power Generation   Issue 6, (2016)
    • CLC： TK39

    • Published Online：15 July 2016，

      Published：2016

    移动端阅览

  • ZHAO Zhihong, HAN Chao, ZHAO Wenjie. NOx content prediction based on principal component analysis and multivariable process monitoring[J]. Thermal power generation, 2016, (6). DOI：

  •  
  •  

0

Views

208

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

Research and application of prediction model for NOx concentration in utility boilers based on deep component analysis
TEST STUDY ON FLOW-UNIFORMIZING AND REDUCTANT-MIXING TECHNOLOGY IN SCR DENITRIFICATION REACTOR FOR THERMAL POWER PLANTS
Model for predicting SCR flue gas denitration efficiency based on particle swarm optimization and twin support vector machine
Design of flue gas denitration control system based on feedforward constrained dynamic matrix control

Related Author

WANG Lin
WANG Xiaocheng
GUO Yiwen
JIANG Shouyi
GAO Lin
HOU Yuting
ZHOU Junbo
JIANG Zhaoyu

Related Institution

Huadian Gourong Power Plant Co., Ltd., Gourong
Huaneng Rizhao Power Plant Co., Ltd.
Xi’an Thermal Power Research Institute Co., Ltd.
North China Electric Power University
National Power Plant Combustion Engineering Technology Research Center
0