Name
Abstract | ||
|---|---|---|
Nowadays many control systems are able to control the continuous casting process by complying with all technological features. These systems do not consider all the causes of the factory rejects - semi-product crust cracks which are extremely important for economical reasons. The continuous casting process referred in this paper is controlled by a complex system based on fuzzy logic and by individual PID regulators. This paper highlights the necessity for an upgraded control system in order to predict and remove the causes of any possible crack and presents a solution based on neural networks. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/SACI.2009.5136254 | SACI: 2009 5TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS |
Keywords | Field | DocType |
control system,casting,artificial neural networks,stress,complex system,fuzzy logic,automatic control,neural network,informatics,neural networks,solids,control systems,crystallization,process control | PID controller,Factory,Computer science,Fuzzy logic,Control engineering,Process control,Control system,Casting,Continuous casting | Conference |
Citations | PageRank | References |
1 | 0.44 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gelu-Ovidiu Tirian | 1 | 4 | 1.50 |
| Octavian Prostean | 2 | 29 | 21.20 |
| Ioan Filip | 3 | 25 | 18.11 |