Soft-sensing Modeling of the Carbon Content in Fly Ash Based on Information Fusion for Power Plant

ZHANG Guiwei; BAO Lin; LI Qiwei

Volume 38 Issue 6

Dec. 2009

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INFORMATION AND CONTROL > 2009 > 38(6): 646-652.

ZHANG Guiwei, BAO Lin, LI Qiwei. Soft-sensing Modeling of the Carbon Content in Fly Ash Based on Information Fusion for Power Plant[J]. INFORMATION AND CONTROL, 2009, 38(6): 646-652.

Citation:

ZHANG Guiwei, BAO Lin, LI Qiwei. Soft-sensing Modeling of the Carbon Content in Fly Ash Based on Information Fusion for Power Plant[J]. INFORMATION AND CONTROL, 2009, 38(6): 646-652.

Citation:

ZHANG Guiwei, BAO Lin, LI Qiwei. Soft-sensing Modeling of the Carbon Content in Fly Ash Based on Information Fusion for Power Plant[J]. INFORMATION AND CONTROL, 2009, 38(6): 646-652.

Soft-sensing Modeling of the Carbon Content in Fly Ash Based on Information Fusion for Power Plant

1.
School of Economics and Management, Hebei University of Engineering, Handan 056038, China
2.
Hebei Handan Cogeneration Co. Ltd, Handan 056004, China

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Received Date: September 06, 2008
Published Date: December 19, 2009

Graphical Abstract

Abstract

Abstract

A new algorithm based on information fusion and soft-sensing technique for modeling the measurement of the carbon content in fly ash for power plant is proposed.Firstly,adaptive weighted fusion and least square support vector machine(LSSVM) algorithms are designed.Secondly,models based on three nonlinear testing functions are constructed by the BP neural network,LSSVM and LSSVM based on adaptive weighted fusion algorithms,and then their accuracies are compared respectively.Finally,the LSSVM algorithms based on adaptive weighted fusion are applied to modeling of the carbon content in fly ash for power plant,and the results are given.
- information fusion,
- soft-sensing,
- adaptive weighted fusion,
- LSSVM,
- carbon content in fly ash

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References (10)

References

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