Modeling, diagnostics and prognostics of A two-spool turbofan engine

Rama K. Yedavalli, Praveen Shankar, Majid Siddiqi, Al Behbahani

Research output: Contribution to conferencePaperpeer-review

10 Scopus citations


Model-based diagnostic/prognostic techniques have the potential to predict, within reasonable bounds, the remaining useful life of critical system components. Due to the numerous uncertainties in the operation of a turbine engine and unavailability of accurate engine models, prognostics continue to pose a significant challenge. There is a need to develop an engine prognostic approach that can accommodate different damage modes, sensor failures, material properties, dynamic load histories and damage accumulation. Using an accurate physics-based model of the engine one can develop such a prognostic approach. We present a nonlinear dynamical model of a two-spool turbine engine developed from first principles. The simulation model has been implemented using MATLAB/Simulink. It is used with the Kalman Filter-based diagnostic technique previously discussed in literature to detect and isolate sensor faults. A literature review of the developments in the area of prognostics is also presented, along with the problems and challenges.

Original languageBritish English
StatePublished - 2005
Event41st AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit - Tucson, AZ, United States
Duration: 10 Jul 200513 Jul 2005


Conference41st AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit
Country/TerritoryUnited States
CityTucson, AZ


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