STUDY ON PREDICITION OF TUBE-WALL TEMPERATURE IN SUPERHEATER AND REHEATER OF BOILER BASED ON NEURAL NETWORK

ZHOU Yunlong; SU Yaolei College of Energy and Mechanical Engineering

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

STUDY ON PREDICITION OF TUBE-WALL TEMPERATURE IN SUPERHEATER AND REHEATER OF BOILER BASED ON NEURAL NETWORK

更新时间：2025-09-28

- STUDY ON PREDICITION OF TUBE-WALL TEMPERATURE IN SUPERHEATER AND REHEATER OF BOILER BASED ON NEURAL NETWORK
- Thermal Power Generation Vol. 41, Issue 5, Pages: 22-26(2012)
- 作者机构：
  
  东北电力大学能源与机械工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK223.32
- Published：2012
- 稿件说明：
移动端阅览
ZHOU Yunlong, SU Yaolei College of Energy and Mechanical Engineering. STUDY ON PREDICITION OF TUBE-WALL TEMPERATURE IN SUPERHEATER AND REHEATER OF BOILER BASED ON NEURAL NETWORK[J]. Thermal power generation, 2012, 41(5): 22-26.
DOI：

ZHOU Yunlong, SU Yaolei College of Energy and Mechanical Engineering. STUDY ON PREDICITION OF TUBE-WALL TEMPERATURE IN SUPERHEATER AND REHEATER OF BOILER BASED ON NEURAL NETWORK[J]. Thermal power generation, 2012, 41(5): 22-26. DOI：

摘要

提出了采用BP神经网络和RBF神经网络对锅炉过热器和再热器壁温进行预测的方法

经过网络训练和测试

使预测的管壁温度有一定的准确度。RBF神经网络较BP神经网络误差更小

更稳定

更适合于预测锅炉过热器和再热器的管壁温度。

Abstract

A prediction method for tube-wall temperature in superheater and reheater of boilers

which adopts BP neural network and RBF neural network

has been put forward

through training and testing of the neural networks

making the above-mentioned prediction method to have certain accuracy.Comparatively speaking

the error of RBF neural network is more smaller than that of BP neural network

the work of RBF neural network is more stable

and is mroe suitable to predict the tube-wall temperature in superheater and reheater of boilers.

关键词

Keywords

references

Views

169

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

PREDICTION MODEL FOR POLLUTANTS SO₂ AND NO_x FROM LARGE-SCALE COAL-FIRED POWER PLANT BASED ON NEURAL NETWORK

NO_x emission prediction of coal-fired power plants based on PSO and Bi-GRU

Advancements in the application of machine learning in circulating fluidized bed boiler technology

ANALYSIS OF MECHNISMS FOR OXIDE SKIN FORMATION AND EXFOLIATION IN SUPERHEATER OF SUPERCRITICAL BOILERS AS WELL AS PREVENTIVE MEASURES THEREOF

STUDY ON APPLICATION OF PREDICTIVE CONTROL BASED ON SUPERVISORY INFORMATION SYSTEM

Related Author

ZHANG Li-yan1

MAI Yong-qiang2

ZHANG Yue-hui3

HUANG Qun-xing41.Energy Engineering Design & Research Institute

XIE Ruibiao

LI Xinli

WANG Yingnan

YANG Guotian

Related Institution

Zhejiang University Energy Engineering Design and Research Institute

Guodian Dongsheng Thermal Power Plant

Zhejiang Wuhua Tianbao Energy Environmental Protection Co., Ltd

State Key Laboratory of Clean Energy Utilization, Zhejiang University

School of Control and Computer Engineering, North China Electric Power University

AI问答

⁰