Phosphorus endpoint prediction of AOD furnace ferroalloy melting based on wavelet neural network

Dephosphorization is one of the most important part of AOD furnace ferroalloy melting, and it is also one of the basic reaction. Bing the smelting process is complex in this paper promote the wavelet neural network algorithm in order to predict the endpoint of phosphorus value and using on-line data...

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Bibliographic Details
Published in2009 IEEE International Conference on Automation and Logistics pp. 1302 - 1306
Main Authors Wang Dongmei, You Wen, Lin Xiaomei, Tian Yantao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2009
Subjects
Continuous wavelet transforms
Dephosphorization
Discrete wavelet transforms
Feedforward neural networks
Furnaces
Neural networks
Prediction model
Predictive models
Production
Smelting
System identification
Wavelet analysis
Wavelet neural network
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Summary:Dephosphorization is one of the most important part of AOD furnace ferroalloy melting, and it is also one of the basic reaction. Bing the smelting process is complex in this paper promote the wavelet neural network algorithm in order to predict the endpoint of phosphorus value and using on-line data to training the wavelet neural network. The simulation results showed that the prediction relative error between the prediction and the practical value is within plusmn5% and the convergence rate of the learning algorithm is fast.
ISBN:9781424447947
1424447941
ISSN:2161-8151
2161-816X
DOI:10.1109/ICAL.2009.5262776