Fuzzy Implementation for Predicting and Monitoring the Conditions of Transducers for Gas Turbine Cycle

This paper presents a fuzzy logic methodology for predicting the most important parameters that influence the efficiency cycle of the gas turbine and estimates the transducer's condition "health" and its measuring accuracy during the fault. The fuzzy method is implemented here to monitor and predict the working conditions for different sensors and transducers in the gas turbine and to ensure that it is operated at a safe level to prevent equipment deterioration by the correct evaluation of its effective parameters, and save operational costs assuming that there is a single fault occurs at a given time. The fuzzy implementation consisted of two parts, the first one predicts the actual operating parameters based on gas turbine cycle performance calculations, and second part shows the sensor's condition estimates the transducers' accuracy in a percentage scale after any alarm to assure their competence. Fuzzy logic in such applications aids us to condense a large amount of data into smaller set of fuzzy variable rules, to minimize prolonged exposure to downtimes.