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Cites:

Information Journal Paper

Title

FAULT DIAGNOSIS IN A YEAST FERMENTATION BIOREACTOR BY GENETIC FUZZY SYSTEM

Author(s)

 TAYEB SHOKOUFEH | SHAHROKHI MOHAMMAD | BOZORG MEHRI BOUZARJOMEHRI RAMIN | Issue Writer Certificate 

Pages

  61-72

Abstract

 In this paper, the fuzzy system has been used for FAULT DETECTION AND DIAGNOSIS of a yeast FERMENTATION BIOREACTOR based on measurements corrupted by noise. In one case, parameters of membership functions are selected in a conventional manner. In another case, using certainty factors between normal and faulty conditions the optimal values of these parameters have been obtained through the GENETIC ALGORITHM. These two cases are compared based on their performances in fault diagnosis of a yeast FERMENTATION BIOREACTOR for three different conditions. The simulation results indicate that the fuzzy-genetic system is superior in multiple fault detection for the conditions where the minimum and maximum deviations from normal conditions occur in the process variables.

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    • Cite

    APA: Copy

    TAYEB, SHOKOUFEH, SHAHROKHI, MOHAMMAD, & BOZORG MEHRI BOUZARJOMEHRI, RAMIN. (2010). FAULT DIAGNOSIS IN A YEAST FERMENTATION BIOREACTOR BY GENETIC FUZZY SYSTEM. IRANIAN JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING (IJCCE), 29(3), 61-72. SID. https://sid.ir/paper/572092/en

    Vancouver: Copy

    TAYEB SHOKOUFEH, SHAHROKHI MOHAMMAD, BOZORG MEHRI BOUZARJOMEHRI RAMIN. FAULT DIAGNOSIS IN A YEAST FERMENTATION BIOREACTOR BY GENETIC FUZZY SYSTEM. IRANIAN JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING (IJCCE)[Internet]. 2010;29(3):61-72. Available from: https://sid.ir/paper/572092/en

    IEEE: Copy

    SHOKOUFEH TAYEB, MOHAMMAD SHAHROKHI, and RAMIN BOZORG MEHRI BOUZARJOMEHRI, “FAULT DIAGNOSIS IN A YEAST FERMENTATION BIOREACTOR BY GENETIC FUZZY SYSTEM,” IRANIAN JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING (IJCCE), vol. 29, no. 3, pp. 61–72, 2010, [Online]. Available: https://sid.ir/paper/572092/en

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