Hybrid expert system for raw materials blending

Xiao-Gang Duan; Chun-Hua Yang; Han-Xiong Li; Wei-Hua Gui; Hua Deng

doi:10.1016/j.conengprac.2008.03.008

Hybrid expert system for raw materials blending

Xiao-Gang Duan
, Chun-Hua Yang
, Han-Xiong Li
, Wei-Hua Gui
, Hua Deng

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

17 Citations (Scopus)

Abstract

The paper presents a case study on the practical implementation of a hybrid expert system for a raw materials blending process (RMBP). Based on blending mechanism and expert knowledge, a hybrid expert system for supervisory control is developed to optimize its performance. With the help of a compensation model and a prediction model, the proposed hybrid expert system can replace the human operator for most of the operations in the process. Both experiment and industrial applications show the feasibility and effectiveness of the developed system, and its bright potential in application of the control of the RMBP. © 2008 Elsevier Ltd. All rights reserved.

Original language	English
Pages (from-to)	1364-1371
Journal	Control Engineering Practice
Volume	16
Issue number	11
DOIs	https://doi.org/10.1016/j.conengprac.2008.03.008
Publication status	Published - Nov 2008

Research Keywords

Hybrid expert system
Raw materials blending
Supervisory control

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10.1016/j.conengprac.2008.03.008

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title = "Hybrid expert system for raw materials blending",

abstract = "The paper presents a case study on the practical implementation of a hybrid expert system for a raw materials blending process (RMBP). Based on blending mechanism and expert knowledge, a hybrid expert system for supervisory control is developed to optimize its performance. With the help of a compensation model and a prediction model, the proposed hybrid expert system can replace the human operator for most of the operations in the process. Both experiment and industrial applications show the feasibility and effectiveness of the developed system, and its bright potential in application of the control of the RMBP. {\textcopyright} 2008 Elsevier Ltd. All rights reserved.",

keywords = "Hybrid expert system, Raw materials blending, Supervisory control",

author = "Xiao-Gang Duan and Chun-Hua Yang and Han-Xiong Li and Wei-Hua Gui and Hua Deng",

year = "2008",

month = nov,

doi = "10.1016/j.conengprac.2008.03.008",

language = "English",

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pages = "1364--1371",

journal = "Control Engineering Practice",

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TY - JOUR

T1 - Hybrid expert system for raw materials blending

AU - Duan, Xiao-Gang

AU - Yang, Chun-Hua

AU - Li, Han-Xiong

AU - Gui, Wei-Hua

AU - Deng, Hua

PY - 2008/11

Y1 - 2008/11

N2 - The paper presents a case study on the practical implementation of a hybrid expert system for a raw materials blending process (RMBP). Based on blending mechanism and expert knowledge, a hybrid expert system for supervisory control is developed to optimize its performance. With the help of a compensation model and a prediction model, the proposed hybrid expert system can replace the human operator for most of the operations in the process. Both experiment and industrial applications show the feasibility and effectiveness of the developed system, and its bright potential in application of the control of the RMBP. © 2008 Elsevier Ltd. All rights reserved.

AB - The paper presents a case study on the practical implementation of a hybrid expert system for a raw materials blending process (RMBP). Based on blending mechanism and expert knowledge, a hybrid expert system for supervisory control is developed to optimize its performance. With the help of a compensation model and a prediction model, the proposed hybrid expert system can replace the human operator for most of the operations in the process. Both experiment and industrial applications show the feasibility and effectiveness of the developed system, and its bright potential in application of the control of the RMBP. © 2008 Elsevier Ltd. All rights reserved.

KW - Hybrid expert system

KW - Raw materials blending

KW - Supervisory control

UR - https://www.scopus.com/pages/publications/47549111511

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-47549111511&origin=recordpage

U2 - 10.1016/j.conengprac.2008.03.008

DO - 10.1016/j.conengprac.2008.03.008

M3 - RGC 21 - Publication in refereed journal

SN - 0967-0661

VL - 16

SP - 1364

EP - 1371

JO - Control Engineering Practice

JF - Control Engineering Practice

IS - 11

ER -

Hybrid expert system for raw materials blending

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Research Keywords

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