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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | ZhuGang Yuan Hui Liu |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Control Science & Engineering, University of Jinan, Shandong Province, China (ZhuGang Yuan; Hui Liu) |
| Abstract | Because it is difficult to measure the on-line apparent degree of calcination in New Suspension Preheater Dry Process (NSP) cement production line, a soft sensor model is established by using soft sensor technique and Least Squares Support Vector Machine (LS-SVM) with RBF kernel. The furnace temperature and pressure of the calciner, the outlet temperature and pressure of the calciner, the temperature of the tertiary air and the lay off quantity of cement raw are used as the inputs of soft sensor model. The apparent degree of calcination is the output. A realization scheme programmed by VC ++ based on DCS and OPC technique is presented. The results of the experiment show that the prediction accuracy of this soft sensor model for the apparent degree of calcination in NSP cement production line based on LS-SVM can reach 98.8%. So the on-line measurement of the apparent degree of calcination in NSP cement production line can be realized by this soft sensor model. |
| Starting Page | 473 |
| Ending Page | 478 |
| File Size | 140390 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424455850 |
| e-ISBN | 9781424455867 |
| DOI | 10.1109/ICCAE.2010.5451912 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-02-26 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Virtual colonoscopy Calcination apparent degree of calcination Least squares methods Temperature sensors Support vector machines Accuracy LS-SVM Furnaces Production Distributed control soft sensor Kernel |
| Content Type | Text |
| Resource Type | Article |
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