Engine thrust model determination and analysis using a large operational flight database

Abstract Different engine thrust models are developed from operational flight data with limited a priori knowledge as part of novel process for aircraft performance model determination. The given big problem is solved by application fundamental engineering and specific evaluation strategy. resulting smart approach fundamentally different existing artificial intelligence methods to solve such problems. A linear, local-linear complex nonlinear determined on the example large database flights Airbus 320neo aircraft. Even information about actual available data, allow (well) predict characteristics within required envelope. In addition, temperature correction predicted results further enhance model’s accuracy. Finally, implementations, prediction quality discussed.