Modern weapon systems demands are forcing engine designers to draw a finer line in their trades between performance and compatibility. Next generation smart engine controls also have the flexibility to optimize (real-time) either performance or compatibility knowing the flight condition and aircraft attitude. This paper presents a global statistical approach for the evaluation of installed aircraft/engine compatibility. The proposed methodology uses a Monte Carlo simulation to analyze the complex interaction of randomly occurring destabilizing events. Planned or projected aircraft operational usage and bleed and power offtake demand data are combined with data from an inlet distortion model and an engine model to predict remaining surge margin for the given operational usage. The result is a predicted probability of surge per thousand engine flight hours. Thus the procedure yields a quantitative total system or global assessment of the probability of engine surge, thereby providing designers expanded insight into inlet/engine compatibility decisions.

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