NDLI: Multiscale models on time series of silicon content in blast furnace hot metal based on Hilbert-Huang transform

Content Provider	IEEE Xplore Digital Library
Author	Chu Yan-Xu Liu Xiang-Guan Gao Chuan-Hou
Copyright Year	2011
Description	Author affiliation: Department of Mathematics, Zhejiang University, Hangzhou, 310027, China (Chu Yan-Xu; Liu Xiang-Guan; Gao Chuan-Hou)
Abstract	The processes in blast furnace ironmaking are often extremely complex and measurements from their interior are scarce due to hostile conditions, while the high standard product requires that the silicon content be strictly controlled. Mathematical models can play a central role in achieving the goal. However, the traditional analytic models failed to take the multiscale or the nonlinear and non-stationary feature. In this paper, the Hilbert-Huang transform (HHT) method and two simple basic models are applied to carry out some multiscale models on the time series of silicon content in hot metal collected from a pint-sized and medium-sized blast furnace. According to the Simulation results, the proposed improved multiscale model exhibits a better behavior in its modeling and prediction.
Starting Page	842
Ending Page	847
File Size	324408
Page Count	6
File Format	PDF
ISBN	9781424487370
e-ISBN	9781424487387
DOI	10.1109/CCDC.2011.5968300
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Blast furnace ironmaking process Time series analysis HHT Metals Predictive models Blast furnaces non-linear time series Silicon Data models Mathematical model multiscale model
Content Type	Text
Resource Type	Article

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