fault diagnosis in a yeast fermentation bioreactor by genetic fuzzy system
نویسندگان
چکیده
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.
منابع مشابه
Fault Diagnosis in a Yeast Fermentation Bioreactor by Genetic Fuzzy System
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 g...
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عنوان ژورنال:
iranian journal of chemistry and chemical engineering (ijcce)ناشر: iranian institute of research and development in chemical industries (irdci)-acecr
ISSN 1021-9986
دوره 29
شماره 3 2010
میزبانی شده توسط پلتفرم ابری doprax.com
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