Abstract
Abstract: Several system failure events of a selected gas turbine engine with respective to its maintenance actions are considered in this study. These system failure events are derived from condition monitoring (CM) data of a selected gas turbine engine and modeled into a nonhomogeneous Poisson process (NHPP) under maximum likelihood estimation. Various erroneous data intervals are noted in the CM data of the gas turbine engine and removed from the respective analysis. The CM data set is divided into several intervals due to the erroneous data intervals and the modified data set is used to estimate the parameters of the respective models of system reliability. These models represent the failure intensity levels of the gas turbine engine during various sectors of its life cycle. These failure intensity levels consist of increasing and decreasing reliability trends and those variations are compared with system faults and maintenance periods to observe the respective reasons. Finally, the reasons among these system faults and maintenance periods by considering the inputs from the maintenance crew are also summarized in the conclusion of this study.
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