A comparative study of black-box models for cement quality prediction using input-output measurements of a closed circuit grinding
This paper presents the methodology of design of three different modeling techniques for predicting cement quality using input-output measurements of the closed circuit grinding in a cement plant. The modeling approaches used are: statistical, artificial neural networks (ANN), and adaptive neuro-fuz...
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INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC.
2018
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| Acceso en línea: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979279823&doi=10.1109%2fSYSCON.2016.7490538&partnerID=40&md5=f53a51d7025bdeb048c214c70c991b0a http://dspace.ucuenca.edu.ec/handle/123456789/29168 |
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oai:localhost:123456789-291682018-02-17T11:26:39Z A comparative study of black-box models for cement quality prediction using input-output measurements of a closed circuit grinding Minchala Avila, Luis Ismael Sanchez, C Yungaicela, M adaptive neuro-fuzzy inference system artificial neural networks black-box model Fineness of the cement This paper presents the methodology of design of three different modeling techniques for predicting cement quality using input-output measurements of the closed circuit grinding in a cement plant. The modeling approaches used are: statistical, artificial neural networks (ANN), and adaptive neuro-fuzzy inference systems (ANFIS). The data set for generating the predictive models are obtained from a database of the operation of the cement plant, UCEM-Guapan. An OPC (OLE for process control) network configuration in the SCADA system allows online validations of the proposed models in order to select the best approach for real-time prediction of cement quality. Orlando Florida 2018-01-11T16:47:36Z 2018-01-11T16:47:36Z 2016-04-18 info:eu-repo/semantics/Article 9781467395182 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979279823&doi=10.1109%2fSYSCON.2016.7490538&partnerID=40&md5=f53a51d7025bdeb048c214c70c991b0a http://dspace.ucuenca.edu.ec/handle/123456789/29168 10.1109/SYSCON.2016.7490538 en_US instname:Universidad de Cuenca reponame:Repositorio Digital de la Universidad de Cuenca info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/3.0/ec/ INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC. 10th Annual International Systems Conference, SysCon 2016 - Proceedings info:eu-repo/date/embargoEnd/2022-01-01 0:00 |
| institution |
UCUENCA |
| collection |
Repositorio UCUENCA |
| universidades |
UCUENCA |
| language |
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| format |
Artículos |
| topic |
adaptive neuro-fuzzy inference system artificial neural networks black-box model Fineness of the cement |
| spellingShingle |
adaptive neuro-fuzzy inference system artificial neural networks black-box model Fineness of the cement Minchala Avila, Luis Ismael Sanchez, C Yungaicela, M A comparative study of black-box models for cement quality prediction using input-output measurements of a closed circuit grinding |
| description |
This paper presents the methodology of design of three different modeling techniques for predicting cement quality using input-output measurements of the closed circuit grinding in a cement plant. The modeling approaches used are: statistical, artificial neural networks (ANN), and adaptive neuro-fuzzy inference systems (ANFIS). The data set for generating the predictive models are obtained from a database of the operation of the cement plant, UCEM-Guapan. An OPC (OLE for process control) network configuration in the SCADA system allows online validations of the proposed models in order to select the best approach for real-time prediction of cement quality. |
| author |
Minchala Avila, Luis Ismael Sanchez, C Yungaicela, M |
| author_facet |
Minchala Avila, Luis Ismael Sanchez, C Yungaicela, M |
| author_sort |
Minchala Avila, Luis Ismael |
| title |
A comparative study of black-box models for cement quality prediction using input-output measurements of a closed circuit grinding |
| title_short |
A comparative study of black-box models for cement quality prediction using input-output measurements of a closed circuit grinding |
| title_full |
A comparative study of black-box models for cement quality prediction using input-output measurements of a closed circuit grinding |
| title_fullStr |
A comparative study of black-box models for cement quality prediction using input-output measurements of a closed circuit grinding |
| title_full_unstemmed |
A comparative study of black-box models for cement quality prediction using input-output measurements of a closed circuit grinding |
| title_sort |
comparative study of black-box models for cement quality prediction using input-output measurements of a closed circuit grinding |
| publisher |
INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC. |
| publishDate |
2018 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979279823&doi=10.1109%2fSYSCON.2016.7490538&partnerID=40&md5=f53a51d7025bdeb048c214c70c991b0a http://dspace.ucuenca.edu.ec/handle/123456789/29168 |
| _version_ |
1635523458952593408 |
| score |
11,871979 |