Intelligent prediction model of magnetic tube recovery rate for shaft furnace roasting

Dongbei Daxue Xuebao/Journal of Northeastern University

Volumn 26, Issue 9, 2005, Pages 824-827

  Yan, Ai Jun ^a   Chai, Tian You ^b  

^a KEY LABORATORY OF INTEGRATED AUTOMATION OF PROCESS INDUSTRY   (China)

^b NORTHEASTERN UNIVERSITY   (China)

Author keywords

Expert system; Intelligent prediction model; Magnetic tube recovery rate (MTRR); Neural network; Shaft furnace roasting; Soft sensor

Indexed keywords

DATA ACQUISITION; DECISION MAKING; EXPERT SYSTEMS; FORECASTING; IRON ORES; NEURAL NETWORKS;

DATA PRETREATMENTS; MAGNETIC TUBE RECOVERY RATES; MODULES; NTELLIGENT PREDICTION MODELS; ONLINE MODIFICATION; QUALITY EVALUATION; SHAFT FURNACES; SOFT SENSORS;

ORE ROASTING;

EID: 26644467010     PISSN: 10053026     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. 3 shaft furnaces in Jiuquan Steel Co.[J]. Metal Mine, 2000, (3): 32-33, 40.
2. Wang Y F, Chai T Y, Yue H. PD control comparison between two schemes of angular velocity estimation for robots[J]. Journal of Northeastern University (Natural Science), 2004, 25(6): 515-518.
3. Yoo C K, Lee I B. Soft sensor and adaptive model-based dissolved oxygen control for biological wastewater treatment processes[J]. Environmental Engineering Science, 2004, 21(3): 331-340.
4. Ramirez-Beltran N D, Jackson H. Application of neural networks to chemical process control[J]. Computers and Industrial Engineering, 1999, 37(1-2): 387-390.
5. Arzen K E. An architecture for expert system based feedback control[J]. Automatica, 1989, 25(6): 813-827.
6. Prasad V, Bequette B W. Nonlinear system identification and model reduction using artificial neural networks[J]. Computers and Chemical Engineering, 2003, 27(12): 1741-1754.
7. Paladini E P. An expert system approach to quality control[J]. Expert Systems with Applications, 2000, 18(2): 133-151.
8. Yang D W, Chen X B. The soft-sensing on diathermancy of pellet in bake process[J]. Journal of System Simulation, 2001, 13(S): 191-193.
9. Warnes M R, Glassey J, Montague G A, et al. On date-based modeling techniques for fermentation processes[J]. Processes Biochemistry, 1996, 31(2): 147-155.
10. Kurtanjek Z. Modeling and control by artificial neural networks in biotechnology[J]. Computers and Chemical Engineering, 1994, 18(S): 627-631.