Paper Information

Journal:   IRANIAN JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING (IJCCE)   FALL 2010 , Volume 29 , Number 3; Page(s) 61 To 72.
 
Paper: 

FAULT DIAGNOSIS IN A YEAST FERMENTATION BIOREACTOR BY GENETIC FUZZY SYSTEM

 
 
Author(s):  TAYEB SHOKOUFEH, SHAHROKHI MOHAMMAD*, BOZORG MEHRI BOUZARJOMEHRI RAMIN
 
* FACULTY OF CHEMICAL AND PETROLEUM ENGINEERING, SHARIF UNIVERSITY OF TECHNOLOGY, TEHRAN, I.R. IRAN
 
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.
 
Keyword(s): FAULT DETECTION AND DIAGNOSIS, FERMENTATION BIOREACTOR, FUZZY LOGIC, GENETIC ALGORITHM
 
References: 
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