APPLICATION OF ARTIFICIAL NEURAL NETWORK TO FLAME COLORIMETRIC TEMPERATURE MEASUREMENT METHOD

doi:10.19666/j.rlfd.2001.02.009

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APPLICATION OF ARTIFICIAL NEURAL NETWORK TO FLAME COLORIMETRIC TEMPERATURE MEASUREMENT METHOD

更新时间：2025-09-28

- APPLICATION OF ARTIFICIAL NEURAL NETWORK TO FLAME COLORIMETRIC TEMPERATURE MEASUREMENT METHOD
- Thermal Power Generation Issue 2, Pages: 28-30(2001)
- 作者机构：
  
  浙江大学,浙江,杭州,310027
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.2001.02.009
  CLC： TP183
- Published：2001
- 稿件说明：
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APPLICATION OF ARTIFICIAL NEURAL NETWORK TO FLAME COLORIMETRIC TEMPERATURE MEASUREMENT METHOD[J]. Thermal power generation, 2001, (2): 28-30.
DOI：

APPLICATION OF ARTIFICIAL NEURAL NETWORK TO FLAME COLORIMETRIC TEMPERATURE MEASUREMENT METHOD[J]. Thermal power generation, 2001, (2): 28-30. DOI： 10.19666/j.rlfd.2001.02.009.

摘要

首先分析了基于火焰辐射图像的比色测温法在误差校正方面存在的问题

然后利用神经网络的BP算法在函数逼近方面的优良性质

提出了基于图像的神经网络逼近映射关系的比色测温法。该法现已用于实践 :将训练结束的神经网络融入到测量系统

并在某流化床锅炉火检系统中进行了温度测量试验

取得了满意的结果

Abstract

Firstly problems of error correction of colorimetric temperature measurement method based on flame radiation image are analyzed.Then with the advantage of neural network BP arithmetic in function approach

the corresponding measurement method is proposed.This method has already applied in engineering practice.The neural network of training results is combined with the measurement system

and a temperature measurement test on one FCB boiler is carried out

and satisfied results are achieved.

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Related Institution

Beijng Huaneng Xinrui Control Technology Co., Ltd.

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