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| Analysis and Prediction of Influencing Factor on Element Recovery in Ladle Furnace |
| XU Zhe1，2,MAO Zhi-zhong1，2 |
1. School of Information Science and Engineering, Northeastern University, Shenyang 110819, Liaoning, China
2. State Key Laboratory of Integrated Automation for Process Industries Northeastern University, Shenyang 110819, Liaoning, China |
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Abstract The influencing factors of element recovery could not be obtained instantly, which was one of the difficulties of recovery prediction in ladle furnace (LF). In order to solve this problem, through mechanism analysis, some measurable variables were selected and some new variables that can express the factors of element recovery indirectly were created by using measurable variables. Then, the selected and created variables were used as inputs of element recovery prediction model that was established using support vector regression (SVR). In the experiment, the proposed method was compared with existing recovery prediction methods. The results show that the proposed method has higher accuracy and hit rate, and is more suitable in production.
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Received: 13 June 2011
Published: 20 March 2012
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2012, Vol. 47 
