Turbofan engine mathematic model for its static and dynamic characteristics research

Online Normalization Algorithm for Engine Turbofan Monitoring

To understand the behavior of a turbofan engine, one first needs to deal with the variety of data acquisition contexts. Each time a set of measurements is acquired, and such set may account for tens of parameters, the aircraft evolves in a specific flight mode. A diagnostic of the engine behavior models the observations and tests if anything appears as expected. A model of the engine measuremen...

Dynamic & Static Analyses of Model of Engine Crankshaft

This study investigates dynamic & static behaviour of automotive engine crankshaft with the specific conditions. This work investigates the coupled modes, including, couple torsional flexural vibration and coupled longitudinal flexural vibration for non rotating engine crankshaft. The finite element models of this generally used are in two categories beam elements and solid elements and in this...

Rate-Based Model Predictive Control of Turbofan Engine Clearance

Robust Model Identification Application to a Turbofan Engine

In this paper we describe an application of a robust identification approach to a turbofan engine. The approach combines classical time-data system identification via prediction error models and the so-called model error model theory. The model error model approach provides guidelines for the characterization of the model uncertainty stemming from the nominal system identification and fits natu...

Sudden change detection in turbofan engine behavior

Turbofan engines generate a lot of data for maintenance purpose. During each flight the aircraft send information to the ground using small messages. On those messages one can find a description of the engine behavior (shaft speed, oil temperature, pressures, etc.) and the observation context (air temperature, aircraft attitude, altitude, etc.). Mainly those signals are used for trend analysis ...