Baker's yeast fermentation consists of a number of upstream and downstream
processes and is sensitive to contamination, composition of medium, changes
in process parameters like pH, temperature and aeration. Any deviation fro
m optimum process condition or any leakage or breakdown in process equipmen
t may lead to huge financial loss. The main problems are maintenance of ste
rility, avoiding equipment faults and thus keeping maximum production rate.
An intelligent diagnostic system for prompt detection of any malfunction o
f such process will be helpful. Intelligent diagnostic systems have been ex
tensively studied by many research workers. The underlying concept of such
a system is to find a collection of disorders (causes) that can be the best
explanation for the present set of symptoms (manifestation), which may be
considered as a deviation from normal behaviour. The reverse process of rea
soning to reach the conclusion without using any deductive rule is known as
'abductive reasoning' A prototype expert system for diagnosis of Baker's y
east fermentation was developed on the expert system shell Knowledge Engine
ering Sytsem.HT (KES.HT) based on abductive reasoning.