关键词: 压气机, 性能评估, 主成分分析法, 综合指数, 二次回归分析法

Abstract:

Module performance deterioration will directly affect the normal operation of aero - engine. To grasp the model performance in time is very important for modularization of engine maintenance and flight safety. Based on the engine condition information contained in QAR data of the cruise segment, composite indices based on principal component analysis method are obtained and used to evaluate the relative performance degradation of a compressor . The efficiency of compressor is calculated based on thermodynamic principle to evaluate its performance. Making use of quadratic regression analysis method, the forecasting model between comprehensive index and compressor efficiency has been established. The historical cruising section‘s QAR data of airline is regarded as a learning sample to train the relationship model and the model is used to forecast the efficiency of low pressure compressor. Comparison of forecast results and calculated values proves that with cruising section’s QAR data, the quadratic regression analysis method can be used to forecast efficiency of compressor accurately. Providing a variety of ways for further analysis and evaluation of the model performance.

Key words: compressor, performance evaluation, principal components analysis, comprehensive index, quadratic regression analysis