Performance of Reliability Factors in Steam Turbine Generator Power Plant Using Boolean Function Technique and Neural Network Approach

This paper aims to calculate the reliability and profit of the Steam Turbine Generator Power Plant. Seven subsystems make up a steam turbine generator power plant, namely, the housing, bearing, stator, cooling system, rotor, exciter, and protection subsystems, all of which perform in series. Many reliability factors are determined based on the Boolean and neural network approaches. The plant’s reliability and availability have been evaluated when the failure rate follows an exponential and Weibull time distribution. In this study, the author uses a feed-forward Neural Network technique with MATLAB to compute the profit and variables affecting the dependability of a steam turbine generator power plant. Profit has also been evaluated, which is a key component of dependability.