EVALUATION OF CANE SUGAR PRODUCTION USING MULTIVARIATE STATISTICAL METHODS
In sugarcane industries, process monitoring has the main purpose of maximizing sugar and ethanol production, meeting the quality parameters demanded by customers. The aim of this work was to identify industrial process variables that presented the greatest impacts on the quantity and quality of the...
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| Format: | Article |
| Language: | English |
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Universidade Federal de Viçosa (UFV)
2019-06-01
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| Series: | The Journal of Engineering and Exact Sciences |
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| Online Access: | https://periodicos.ufv.br/jcec/article/view/2588 |
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| author | Bruno José Chiaramonte de Castro Andre Bernardo |
| author_facet | Bruno José Chiaramonte de Castro Andre Bernardo |
| author_sort | Bruno José Chiaramonte de Castro |
| collection | DOAJ |
| description | In sugarcane industries, process monitoring has the main purpose of maximizing sugar and ethanol production, meeting the quality parameters demanded by customers. The aim of this work was to identify industrial process variables that presented the greatest impacts on the quantity and quality of the produced sugar, by applying principal component analysis (PCA) and partial least squares regression (PLS) to the process data of a sugar and ethanol industry. The PCA correlation matrix highlighted the correlation between the presence of alcoholic flocs in sugar and the concentrations of starch and dextran in it. Both PCA and PLS showed that the color of the sugar was highly correlated to its moisture content. The first three principal components accounted for 40.92% of the total data variability.
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| format | Article |
| id | doaj-art-21e4e2c3f48e4de4bc4d2d9ebe07fcab |
| institution | Kabale University |
| issn | 2527-1075 |
| language | English |
| publishDate | 2019-06-01 |
| publisher | Universidade Federal de Viçosa (UFV) |
| record_format | Article |
| series | The Journal of Engineering and Exact Sciences |
| spelling | doaj-art-21e4e2c3f48e4de4bc4d2d9ebe07fcab2025-02-02T19:58:49ZengUniversidade Federal de Viçosa (UFV)The Journal of Engineering and Exact Sciences2527-10752019-06-015310.18540/jcecvl5iss3pp0228-0237EVALUATION OF CANE SUGAR PRODUCTION USING MULTIVARIATE STATISTICAL METHODSBruno José Chiaramonte de Castro0Andre Bernardo1Universidade Federal de São CarlosUniversidade Federal de São CarlosIn sugarcane industries, process monitoring has the main purpose of maximizing sugar and ethanol production, meeting the quality parameters demanded by customers. The aim of this work was to identify industrial process variables that presented the greatest impacts on the quantity and quality of the produced sugar, by applying principal component analysis (PCA) and partial least squares regression (PLS) to the process data of a sugar and ethanol industry. The PCA correlation matrix highlighted the correlation between the presence of alcoholic flocs in sugar and the concentrations of starch and dextran in it. Both PCA and PLS showed that the color of the sugar was highly correlated to its moisture content. The first three principal components accounted for 40.92% of the total data variability. https://periodicos.ufv.br/jcec/article/view/2588Sugar industryProcess monitoringSugar qualityMultivariate statistics |
| spellingShingle | Bruno José Chiaramonte de Castro Andre Bernardo EVALUATION OF CANE SUGAR PRODUCTION USING MULTIVARIATE STATISTICAL METHODS The Journal of Engineering and Exact Sciences Sugar industry Process monitoring Sugar quality Multivariate statistics |
| title | EVALUATION OF CANE SUGAR PRODUCTION USING MULTIVARIATE STATISTICAL METHODS |
| title_full | EVALUATION OF CANE SUGAR PRODUCTION USING MULTIVARIATE STATISTICAL METHODS |
| title_fullStr | EVALUATION OF CANE SUGAR PRODUCTION USING MULTIVARIATE STATISTICAL METHODS |
| title_full_unstemmed | EVALUATION OF CANE SUGAR PRODUCTION USING MULTIVARIATE STATISTICAL METHODS |
| title_short | EVALUATION OF CANE SUGAR PRODUCTION USING MULTIVARIATE STATISTICAL METHODS |
| title_sort | evaluation of cane sugar production using multivariate statistical methods |
| topic | Sugar industry Process monitoring Sugar quality Multivariate statistics |
| url | https://periodicos.ufv.br/jcec/article/view/2588 |
| work_keys_str_mv | AT brunojosechiaramontedecastro evaluationofcanesugarproductionusingmultivariatestatisticalmethods AT andrebernardo evaluationofcanesugarproductionusingmultivariatestatisticalmethods |