Bioprocess diagnosis based on the empirical use of distance measures in the theory of belief functions

Authors:
Sébastien Régis;Andrei Doncescu;Nathalie Goma
Affiliations:
-;-;-
Venue:
Engineering Applications of Artificial Intelligence
Year:
2014

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Abstract

Microorganisms plays a central role in the production of a wide range of industrial chemicals, enzymes and antibiotics. The rate of product formation in a given industrial process is directly related to the rate of biomass formation which is influenced directly or indirectly by a whole host of different environmental factors. In this paper we propose to use distance measures between basic belief assignment in the context of the belief functions theory, in order to diagnosis the relevance of bioprocess sensors and actors which measure the environmental factors.