Time Delay Estimation on COREX Parameters Based on Dynamic Time Warping Method

Zhao, Chen Xi; Xu, Jin Wu; Li, Min; Yang, Jian Hong

doi:10.4028/www.scientific.net/AMM.241-244.1168

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HomeApplied Mechanics and MaterialsIndustrial Instrumentation and Control SystemsTime Delay Estimation on COREX Parameters Based on...

Time Delay Estimation on COREX Parameters Based on Dynamic Time Warping Method

Abstract:

In order to solve the time delay problem between the process parameters and the quality indicators in the modeling processes, a method of time delay estimation on COREX parameters is proposed based on Dynamic Time Warping (DTW) algorithm. The method solves the problem existing in the conventional methods which demand the number of calculating sample to be same. Taking the real field data from Baosteel COREX-3000 as the research object, the DTW distances between the process parameters and the quality indicators are calculated, and then the delay time is estimated. The real field data are used for verification, the results show that the proposed method can estimate the time daley effectively, and the prediction accuracy of model which used time delay estimation becomes higher. It provides an effective measure for model preprocessing.

Info:

Periodical:

Applied Mechanics and Materials (Volumes 241-244)

Main Theme:

Industrial Instrumentation and Control Systems

Edited by:

Prasad Yarlagadda and Yun-Hae Kim

Pages:

1168-1175

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.241-244.1168

Citation:

C. X. Zhao et al., "Time Delay Estimation on COREX Parameters Based on Dynamic Time Warping Method", Applied Mechanics and Materials, Vols. 241-244, pp. 1168-1175, 2013

Online since:

December 2012

Authors:

Chen Xi Zhao *, Jin Wu Xu, Min Li, Jian Hong Yang

Keywords:

COREX, Dynamic Time Warping, Time Delay Estimation

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$41.00

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References

[1] Prachethan Kumar P, Raju B S L, Ranjan M. Ironmaking & Steelmaking, Vol. 38 (2011), p.412.

[2] Prachethan Kumar P, Garg L M, Gupta S S. Ironmaking & Steelmaking, Vol. 33 (2006), p.29.

[3] Radhakrishnan V R, Mohamed A R. Journal of process control, Vol. 10 (2000), p.509.

[4] Wang W, Yu F C. Shandong Metallurgy, Vol. 28 (2006), p.41. (In Chinese).

[5] Chen J. Engineering Applications of Artificial Intelligence, Vol. 14 (2001), p.77.

[6] Li Q H, Liu X G. Journal of Zhengzhou University: Natural Science Edition, Vol. 39(2007) , p.104. (In Chinese).

[7] Cui G M, Yan C L, Guan Y H. Journal of Iron and Steel Research, Vol. 23 (2011) , p.18. (In Chinese).

[8] Berndt D, Clifford J. AAAI-94 workshop on knowledge discovery in databases, (1994).

[9] Jeong Y S, Jeong M K, Omitaomu O A. Pattern Recognition, Vol. 44 (2011) , p.2231.

[10] Zhao C X, Zhang Q, Xu J W, et al. Advanced Materials Research, Vol. 339(2011) , p.420.

Paper TitlePages

The Prediction Model of COREX Cold Gas Content of Carbon Dioxide Based on MOSC-PLS

Authors: Chen Xi Zhao, Qun Zhang, Jin Wu Xu, Min Li, Jian Hong Yang

Abstract: In COREX processes, the cold gas is produced in melter gasifier, after being cooled and dust controlled, blown into the blast furnace and used in the reduction reaction. The cold gas content plays a key role in the reaction of lump ore and pellets reduction. A prediction model of COREX cold gas content of carbon dioxide is proposed based on modified orthogonal signal correction partial least squares algorithm (MOSC-PLS). Firstly, the input and output variables of the model are selected according to the COREX processes principle. Secondly, MOSC algorithm is used to preprocess the data, in order to remove the irrelevant information between the input and output variables of the model. Finally, prediction model is built based on PLS. The real field data of cold gas content of carbon dioxide from Baosteel COREX are used for verification. The results show that MOSC-PLS has an advantage over the orthogonal signal correction partial least squares (OSC-PLS) in prediction accuracy. Thus the necessary decision supports and analysis tools for the cold gas content control are provided.

420

The Introduction of COREX Process Development

Authors: Xiao Lei Zhou, Zhong Ning Du

Abstract: The background and history of COREX smelting reduction was introduced. And the technological process was provided, including the main chemical reactions in COREX process. According to the operating state, COREX process characteristics and development direction were summarized.

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