The Decision Algorithm of Cement Mill Operation Index Based on Improved Differential Evolution Algorithm
Author:
Publisher
Allerton Press
Subject
Signal Processing,Control and Systems Engineering,Software
Link
https://link.springer.com/content/pdf/10.3103/S0146411622060049.pdf
Reference23 articles.
1. Wurzinger, A., Leibinger, H., Jakubek, S., and Kozek, M., Data-driven modeling and nonlinear model predictive control design for a rotary cement kiln, IFAC-PapersOnLine, 2019, vol. 52, no. 16, pp. 759–764. https://doi.org/10.1016/j.ifacol.2019.12.054
2. Genc, Ö., Optimization of a fully air-swept dry grinding cement raw meal ball mill closed circuit capacity with the aid of simulation, Miner. Eng., 2015, vol. 74, pp. 41–50. https://doi.org/10.1016/j.mineng.2015.01.006
3. Altun, O., Energy and cement quality optimization of a cement grinding circuit, Adv. Powder Technol., 2018, vol. 29, no. 7, pp. 1713–1723. https://doi.org/10.1016/j.apt.2018.04.006
4. Liu, J., Wang, Yu., and Zhang, Yo., A novel isomap-SVR soft sensor model and its application in rotary kiln calcination zone temperature prediction, Symmetry, 2020, vol. 12, no. 1, p. 167. https://doi.org/10.3390/sym12010167
5. Li, T., Zhang, Zh., and Chen, H., Predicting the combustion state of rotary kilns using a convolutional recurrent neural network, J. Process Control, 2019, vol. 84, pp. 207–214. https://doi.org/10.1016/j.jprocont.2019.10.009
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