NDLI: Multi-scale predictive modeling for achromic power in a Lithopone Calcination process based on EMD

Content Provider	IEEE Xplore Digital Library
Author	Yao Jing Du Qiliang
Copyright Year	2013
Description	Author affiliation: Key Lab. of Technol. for Safeguarding of Maritime Rights & Interests & Applic., SOA, China (Du Qiliang) \|\| Sch. of Mech. & Electr. Eng., Guangzhou Univ., Guangzhou, China (Yao Jing)
Abstract	In order to predict achromic power, one of the most important quality indices of the semi-product in a Lithopone rotary kiln, a predictive model based on time series modeling technique was focused on. According to the Lithopone calcination mechanism, the multi-scale feature of the process was introduced. Empirical Mode Decomposition, an adaptive data-driven method, was applied to settle the coupling of different time scales. Autoregressive model was used to model every Intrinsic Mode Function decomposed, and GM(1,1) model was used to model the trend series. By combining these models, a multi-scale predictive model for achromic power was obtained eventually. The simulation results show its promising performance. This approach serves as a motivation for similar processes such as cement kilns and ceramic kilns.
Starting Page	1
Ending Page	4
File Size	1120484
Page Count	4
File Format	PDF
ISBN	9781467357678
e-ISBN	9781467357692
DOI	10.1109/ASCC.2013.6606162
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-23
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kilns Adaptation models empirical mode decomposition Time series analysis calcination process autoregressive model Predictive models Calcination Educational institutions Market research achromic power
Content Type	Text
Resource Type	Article

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