Kiln predictive modelization for performance optimization

Author:

Toum Benchekroun Mohammed,Zaki SmailORCID,Aboussaleh Mohamed

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Reference18 articles.

1. Rodrigues FA, Joekes I (2010) Cement industry: sustainabilit. Environ Chem Lett 9(2):151–166

2. Aghdasinia H, Hosseini SS, Hamedi J (2021) Improvement of a cement rotary kiln performance using artificial neural network. J Ambient Intell Human Comput 12:7765–7776

3. Wurzinger A, Leibinger H, Jakubek S, Kozek M (2019) Data driven modeling and nonlinear model predictive control design for a rotary cement kiln. IFAC-PapersOnLine 52(16):759–764

4. Kumar N, Naranje V, Salunkhe S (2020) Cement strength prediction using cloud-based machine learning techniques. J Struct Integr Maint 5(4):244–251

5. Mirmozaffari M, Yazdani M, Boskabadi A, AhadyDolatsara H, Kabirifar K, AmiriGolilarz N (2020) A novel machine learning approach combined with optimization models for eco-efficiency evaluation. Appl 10:5210

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