Research of Turbofan Engine Performance Assessment Method Based on Analytic Network Process Theory

Abstract

Turbofan engine performance directly related to the safety of the operation of the aircraft, so improve the reliability of the turbofan engine performance evaluation is crucial. Based on assessment method of the turbofan engine performance at home and abroad and the perspective of the engine working principle and the performance degradation mechanism, this paper adopts a new assessment theory—Analytic Network Process Theory (ANP) to analyze the interactions and dependencies between the performance parameters in order to build a turbofan engine performance evaluation network hierarchy, and then use Superdecisions software to calculate various performance parameters weight vector. At the same time, the two PW series engine operating parameters data for instance, dimensionless processing the parameters and weighted, finally get two engine performance index to assess the performance of the turbofan engine. The results show that the ANP theory increases the accuracy and reliability of the engine performance assessment, which has a high practical value for timely assessing the performance of engine state.