| Journal: | Computación y sistemas |
| Database: | |
| System number: | 000560384 |
| ISSN: | 1405-5546 |
| Authors: | Campos Dominguez, Armando1 Ceballos Ceballos, Yessica I.3 Zamora Castro, Sergio A.4 Hernandez Martinez, Eliseo3 Velazquez Camilo, Oscar4 |
| Institutions: | 1Universidad Veracruzana, Facultad de Ingeniería Mecánica y Eléctrica, México 2Universidad Veracruzana, Facultad de Ingeniería Eléctrica y Electrónica, México 3Universidad Veracruzana, Facultad de Ciencias Químicas, México 4Universidad Veracruzana, Facultad de Ingeniería de la Construcción y el Hábitat, México |
| Year: | 2018 |
| Season: | Oct-Dic |
| Volumen: | 22 |
| Number: | 4 |
| Pages: | 1147-1155 |
| Country: | México |
| Language: | Inglés |
| English abstract | Due to the increasing demands of quality products, efficient monitoring systems in the current control and operation of industrial processes are essentials. However, in particulate processes as cane sugar crystallization, accurate, inexpensive and suitable sensors for the online monitoring of key process variables are not available. In this work, an alternative using the image analysis of micrographs captured in batch cooling crystallizer is presented. The propose is based on a combined treatment between fractal analysis and conventional binarization techniques, obtaining a normalized fractal index (NFI) that allow the dynamic monitoring of crystal mean diameter, D(4,3). In order to evaluate the monitoring system, the crystallizer was operated at different cooling profiles, finding that the methodology proposed can be used as an alternative technique, inexpensive and easy to implement, for monitoring crystal growth. |
| Keyword: | Cane sugar crystallization, Monitoring crystal growth, Image fractal analysis |
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