A novel method for aero-engine map calibration using adaptation factor surface.

• Introduces a novel wide-range performance adaptation method (WPAM) for aero-engine map calibration, enhancing the accuracy of component-level models (CLMs). • Utilizes adaptation factor surfaces to precisely adjust operating points on speed lines, surpassing limitations of current calibration techniques. • Calculates adaptation factors based on both steady-state and transient measurements using the Levenberg-Marquardt method, ensuring comprehensive calibration. • Constructs adaptation factor surfaces using the moving least squares method, facilitating modification of component maps in spool speed and β -value directions. • Validates the proposed method through simulation of engines with distinct maps, demonstrating significant improvements in CLM accuracy under steady-state and transient conditions. • Proven applicability to degraded engines and variable geometry engines, with robustness in handling measurement data with noise. High-fidelity component-level models (CLMs) are essential for aero-engine performance modeling, monitoring, and diagnosis, relying heavily on precise component maps. Inaccuracies in these maps can cause significant deviations between predicted and actual measurements. This study introduces a novel wide-range performance adaptation method (WPAM) utilizing adaptation factor surfaces, enabling precise adjustment of speed line operating points. The adaptation factors for the component maps are calculated based on both steady-state and transient measurements using the Levenberg-Marquardt method, with transient adaptation calculations converted into a steady-state solution. Adaptation factor surfaces are constructed using the moving least squares method to modify component maps in both spool speed and β -value directions. Validated on two engines with distinct maps, WPAM significantly enhances CLM accuracy under steady-state and transient conditions, considering multidimensional engine and CLM map discrepancies. It is applicable to degraded and variable geometry engines, exhibiting robustness in handling noisy measurement data. [ABSTRACT FROM AUTHOR]