@article{GUO2025, 
author = {Qing GUO and Qilian HUANG and Jinliang CHEN},
title = {Performance degradation modelling of civil aviation engines based on component characteristic map optimization},
year = {2025},
journal = {Journal of Beijing University of Aeronautics and Astronautics},
volume = {51},
number = {6},
pages = {1935-1945},
keywords = {civil aviation engine, gas path analysis, component-level modelling, scaling reference point optimization, surface fitting},
url = {https://www.sciopen.com/article/10.13700/j.bh.1001-5965.2023.0341},
doi = {10.13700/j.bh.1001-5965.2023.0341},
abstract = {In order to provide a theoretical basis for the gas path performance degradation of civil aviation engines at the module level, the CFM56-3 engine was taken as the research object. Firstly, the characteristic map scaling method was used to obtain the component characteristic equations, and the selection process of the general fan characteristic map scaling reference point was optimized. A characteristic map surface fitting method was proposed to construct an engine component-level benchmark performance model that conformed to specific speed conditions under steady-state operating mode. Then, by introducing fault factors to generate a fault coefficient matrix, the deviation of engine monitoring parameters with the decrease in component efficiency was calculated and compared with the fingerprint diagram data in the General Electric Company training manual. The results show that the engine steady-state performance model integrating fan characteristic map scaling reference point optimization and characteristic map surface fitting methods has good accuracy and application prospects in gas performance degradation analysis.}
}