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- Title
ADAPTIVE NEURO-FUZZY MODEL FOR THE CONTROL SYSTEM OF THE CLINKER GRINDING PROCESS IN BALL MILLS IN CEMENT FACTORIES.
- Authors
IPATE, George; CIOBANU, Cristian; TUDOR, Paula; GAGEANU, Iuliana; CUJBESCU, Dan; MANAILA, Florentina
- Abstract
The main goal of this study was to create a model for the development of a decision support system for the cement grinding process in ball mills, including the data acquisition, processing and analysis subsystems, based on intelligent hardware and software technologies. The paper presents a model based on the techniques proposed and developed with the application of fuzzy logic and artificial neural networks. The simulation results of the proposed models in the Matlab environment are also presented. Testing and verification of data obtained with the proposed inference model were performed by comparing with experimental data.
- Subjects
DECISION support systems; CEMENT; FUZZY logic; BALL mills; CEMENT clinkers; ARTIFICIAL neural networks
- Publication
INMATEH - Agricultural Engineering, 2022, Vol 68, Issue 3, p579
- ISSN
2068-4215
- Publication type
Article
- DOI
10.35633/inmateh-68-57