Enhanced Self Tuning On-Board Real-Time Model (Estorm) for Aircraft Engine Performance Health Tracking
Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
Published: 2018-05-22
Total Pages: 56
ISBN-13: 9781719488730
DOWNLOAD EBOOKA key technological concept for producing reliable engine diagnostics and prognostics exploits the benefits of fusing sensor data, information, and/or processing algorithms. This report describes the development of a hybrid engine model for a propulsion gas turbine engine, which is the result of fusing two diverse modeling methodologies: a physics-based model approach and an empirical model approach. The report describes the process and methods involved in deriving and implementing a hybrid model configuration for a commercial turbofan engine. Among the intended uses for such a model is to enable real-time, on-board tracking of engine module performance changes and engine parameter synthesis for fault detection and accommodation. Volponi, Al and Simon, Donald L. (Technical Monitor) Glenn Research Center TURBOFAN ENGINES; AIRCRAFT ENGINES; FAULT DETECTION; GAS TURBINE ENGINES; PERFORMANCE PREDICTION; REAL TIME OPERATION; DIAGNOSIS; DATA PROCESSING; PROPULSION