Gas Turbine Blade Reliability and Generator Optimal Estimation of Weilbull Probability Distribution

The increasing demand of electricity power supply and its availability is indispensable to manage economically following the rapid growth of population to energy consumption capacity which is a major concern making the electricity sector industries to experienced significant implication for power plant operation to provide basic energy services to the people particularly to the reliability of the engineering component under review To achieve this goal the study will consider the application of reliability technique in order to analyse the activities of the failure times of ten identical gas-turbine blade of similar “make” and mode of operations subjected to the same conditions in Afam power station over a period of ten years, from the results obtained, the gasturbine blades were in their wear out period of reliable maintenance to give out efficient performance following to the reliability of the three parameter weilbull distribution R(t) given as 0.60 this means that turbine blade actually required reliable maintenance. While, the failure rate of the turbine-blade  (t ): 0.082577 / hrs , the mean time to failure (MTTF): 13.55hours. The results obtained through the simulation of TPC windchill quality solution software estimated the parameters which shows suitable behaviour of the system components for early response for reliable maintenance. The reliability R(t ) , failure rate  (t ) and meantime to failure (MTTF) were successively computed. Conclusively, the probability that the gas turbine blades under investigation will continue to be operational in service without failures is about 70% while the mean time to failure of the gas turbine blade is about 14hours