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Author:

Yan Ai-Jun (Yan Ai-Jun.) (Scholars:严爱军) | Gao Xue-Jin (Gao Xue-Jin.) (Scholars:高学金) | Wang Pu (Wang Pu.) | Chai TianYou (Chai TianYou.)

Indexed by:

CPCI-S EI Scopus

Abstract:

In a category of production processes, it is difficult to realize the product quality indices-oriented optimizing control due to their characteristics of multi-variable and un-measurable product quality. To deal with such a problem, an intelligent evaluation system for the set points in the control loops is proposed on the basis of the methodology of case-based reasoning (CBR). Consisting of a case-based reasoning model, an off-fine index measuring process, and a self-tuning model, this system achieves real-time evaluation and closed-loop optimization for the set points. The proposed evaluation system is applied to a practical industry process, where it can exactly evaluate the rationality of the set points under the scenarios with frequently varied information. Since the product quality can be predicted with required accuracy, the product indices-oriented optimization is fulfilled, bringing in remarkable profits.

Keyword:

setting prediction product quality intelligence case-based reasoning evaluation system

Author Community:

  • [ 1 ] [Yan Ai-Jun]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100022, Peoples R China
  • [ 2 ] [Gao Xue-Jin]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100022, Peoples R China
  • [ 3 ] [Wang Pu]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100022, Peoples R China
  • [ 4 ] [Chai TianYou]Northeastern Univ, Res Ctr Automat, Shenyang 110004, Peoples R China

Reprint Author's Address:

  • 严爱军

    [Yan Ai-Jun]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100022, Peoples R China

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Source :

2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23

Year: 2008

Page: 7814-,

Language: Chinese

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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