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Using Evolving Fuzzy Models to predict Crude Oil Distillation Side Streams

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Published

Standard

Using Evolving Fuzzy Models to predict Crude Oil Distillation Side Streams. / Macias-Hernandez, Jose J.; Angelov, Plamen; Zhou, Xiaowei.

Computer-Aided Design, Manufacturing, Modeling and Simulation . ed. / Xingui He; Ertian Hua; Yun Lin; Xiaozhu Liu. Zurich : Trans-Tech Publications, 2011. p. 432-437.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Macias-Hernandez, JJ, Angelov, P & Zhou, X 2011, Using Evolving Fuzzy Models to predict Crude Oil Distillation Side Streams. in X He, E Hua, Y Lin & X Liu (eds), Computer-Aided Design, Manufacturing, Modeling and Simulation . Trans-Tech Publications, Zurich, pp. 432-437, International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation (CDMMS 2011), Hangzhou, 13/09/11. https://doi.org/10.4028/www.scientific.net/AMM.88-89.432

APA

Macias-Hernandez, J. J., Angelov, P., & Zhou, X. (2011). Using Evolving Fuzzy Models to predict Crude Oil Distillation Side Streams. In X. He, E. Hua, Y. Lin, & X. Liu (Eds.), Computer-Aided Design, Manufacturing, Modeling and Simulation (pp. 432-437). Trans-Tech Publications. https://doi.org/10.4028/www.scientific.net/AMM.88-89.432

Vancouver

Macias-Hernandez JJ, Angelov P, Zhou X. Using Evolving Fuzzy Models to predict Crude Oil Distillation Side Streams. In He X, Hua E, Lin Y, Liu X, editors, Computer-Aided Design, Manufacturing, Modeling and Simulation . Zurich: Trans-Tech Publications. 2011. p. 432-437 https://doi.org/10.4028/www.scientific.net/AMM.88-89.432

Author

Macias-Hernandez, Jose J. ; Angelov, Plamen ; Zhou, Xiaowei. / Using Evolving Fuzzy Models to predict Crude Oil Distillation Side Streams. Computer-Aided Design, Manufacturing, Modeling and Simulation . editor / Xingui He ; Ertian Hua ; Yun Lin ; Xiaozhu Liu. Zurich : Trans-Tech Publications, 2011. pp. 432-437

Bibtex

@inproceedings{1e97e36324b44617b3d2c27cdf3bb284,
title = "Using Evolving Fuzzy Models to predict Crude Oil Distillation Side Streams",
abstract = "Prediction of the properties of the crude oil distillation side streams based on statistical methods and laboratory-based analysis has been around for decades. However, it is difficult to identify, control or compensate the dynamic process behavior and the errors from instrumentation for an online model prediction. The objective of this work is to report an application and a study of a novel technique for real-time modelling, namely eXtended Evolving Fuzzy Takagi-Sugeno models (xTS) for prediction and online monitoring of these properties of the refinery distillation process. The results include the online prediction of Soft Sensors for distillation of Naptha and Gasoil Side Streams. The application predicts the quality of the side stream evolving its fuzzy structure and cluster parameters.",
author = "Macias-Hernandez, {Jose J.} and Plamen Angelov and Xiaowei Zhou",
year = "2011",
doi = "10.4028/www.scientific.net/AMM.88-89.432",
language = "English",
isbn = "978-3-03785-236-1",
pages = "432--437",
editor = "Xingui He and Ertian Hua and Yun Lin and Xiaozhu Liu",
booktitle = "Computer-Aided Design, Manufacturing, Modeling and Simulation",
publisher = "Trans-Tech Publications",
note = "International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation (CDMMS 2011) ; Conference date: 13-09-2011 Through 16-09-2011",

}

RIS

TY - GEN

T1 - Using Evolving Fuzzy Models to predict Crude Oil Distillation Side Streams

AU - Macias-Hernandez, Jose J.

AU - Angelov, Plamen

AU - Zhou, Xiaowei

PY - 2011

Y1 - 2011

N2 - Prediction of the properties of the crude oil distillation side streams based on statistical methods and laboratory-based analysis has been around for decades. However, it is difficult to identify, control or compensate the dynamic process behavior and the errors from instrumentation for an online model prediction. The objective of this work is to report an application and a study of a novel technique for real-time modelling, namely eXtended Evolving Fuzzy Takagi-Sugeno models (xTS) for prediction and online monitoring of these properties of the refinery distillation process. The results include the online prediction of Soft Sensors for distillation of Naptha and Gasoil Side Streams. The application predicts the quality of the side stream evolving its fuzzy structure and cluster parameters.

AB - Prediction of the properties of the crude oil distillation side streams based on statistical methods and laboratory-based analysis has been around for decades. However, it is difficult to identify, control or compensate the dynamic process behavior and the errors from instrumentation for an online model prediction. The objective of this work is to report an application and a study of a novel technique for real-time modelling, namely eXtended Evolving Fuzzy Takagi-Sugeno models (xTS) for prediction and online monitoring of these properties of the refinery distillation process. The results include the online prediction of Soft Sensors for distillation of Naptha and Gasoil Side Streams. The application predicts the quality of the side stream evolving its fuzzy structure and cluster parameters.

U2 - 10.4028/www.scientific.net/AMM.88-89.432

DO - 10.4028/www.scientific.net/AMM.88-89.432

M3 - Conference contribution/Paper

SN - 978-3-03785-236-1

SP - 432

EP - 437

BT - Computer-Aided Design, Manufacturing, Modeling and Simulation

A2 - He, Xingui

A2 - Hua, Ertian

A2 - Lin, Yun

A2 - Liu, Xiaozhu

PB - Trans-Tech Publications

CY - Zurich

T2 - International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation (CDMMS 2011)

Y2 - 13 September 2011 through 16 September 2011

ER -