STOCHASTIC ANALYSIS OF A GAS TURBINE SYSTEM WITH PRIORITY AND RANDOM INSPECTION BY SINGLE SERVER UNDER DIFFERENT HUMID CONDITIONS.

In this study, we investigated the impact of two different humid levels on the reliability measures of a stochastic model for a gas turbine system composed of a gas turbine and a steam turbine. To enhance the system's overall performance, we prioritize gas turbine repair over steam turbine repair in addition to a combined inspection and preventative maintenance approach. To find some reliability measures, such as the mean time to system failure, availability, etc., semi-Markov process and regenerating point technique are utilized. These measures are analysed graphically based on the data obtained from a gas turbine power plant in Delhi, India. [ABSTRACT FROM AUTHOR]