Dynamic Data Driven Modeling of Aero Engine Response
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Aircraft engines are one of the most heavily instrumented parts of an aircraft, and the data from various types of instrumentation across these engines are continuously monitored both offline and online for potential anomalies. The different measurements (temperatures, vibration, etc.) are influenced by the flight parameters (e.g., throttle position) and environmental conditions (outside temperature, pressure, humidity, etc.). Because of all the interdependencies among the various parameters measured, aero-engine vibration responses vary widely depending on the operating and prevailing environmental conditions. Variations in the measured values can, therefore, result from variations in the flight parameters and conditions rather than being due to abnormal behavior. The majority of vibration assessment is done by monitoring engine vibration levels to fundamental shaft rotational orders. However, focus on shaft orders in isolation may not expose the full picture when a range of other factors are also known to be in effect during operation of a complex machine such as an aero engine.
Model Validation and Uncertainty Quantification, Volume 3
author list (cited authors)
Krishnan, M., Gugercin, S., Sever, I., & Tarazaga, P.
complete list of authors
Krishnan, Manu||Gugercin, Serkan||Sever, Ibrahim||Tarazaga, Pablo
editor list (cited editors)