Performance degradation modeling of civil aviation engines based on component characteristic map optimization

Authors

  • William L. Cooper
  • Kimberly Adams
  • Andrew Simmons
  • Patrick Green

DOI:

https://doi.org/10.59782/aai.v1i3.322

Keywords:

civil aviation engine, gas path analysis, component-level modeling, scaling reference point optimization, surface fitting

Abstract

In order to provide a theoretical basis for the degradation of the air path performance of civil aviation engines at the unit level, the CFM56-3 engine was used as the research object. First, on the basis of using the characteristic map scaling method to obtain the component characteristic equation, the selection process of the scaling reference point of the fan general characteristic map was optimized, and a surface fitting method of the characteristic map was proposed to construct an engine component-level benchmark performance model that meets specific speed conditions under steady-state conditions. Then, by introducing the fault factor to generate the fault coefficient matrix, the deviation of the engine monitoring parameters as the component efficiency decreases was calculated, and compared with the fingerprint map data of the GE training manual, it was verified that the engine steady-state performance model that integrates the fan characteristic map scaling reference point optimization and the characteristic map surface fitting method has good accuracy and use in the analysis of air path performance degradation.

How to Cite

Cooper, W. L., Adams, K., Simmons, A., & Green, P. (2024). Performance degradation modeling of civil aviation engines based on component characteristic map optimization. Journal of Applied Artificial Intelligence, 1(3), 144–160. https://doi.org/10.59782/aai.v1i3.322

Issue

Section

Articles