Steady state performance experimental data of more than ten axial flow compressors were arranged and analyzed based on systematic idea. The inherent correlative law of the discrete experimental data in existing aerodynamic and structural design systems was explored statistically. Based on selection of the correlation reference point

estimation of the stability boundary

generalized fitting of the characteristics

solution of the correlation reference point and other aspects

an experiential analysis method for correlating the experimental characteristics of multistage axial flow compressors were built successfully. The results show that the experiential method has good prediction ability for large flow low-speed compressor off-design characteristics

with its general relative error less than ±10%. This analysis method can be applied to experiential reconstruction and advanced evaluation of the off-design characteristics of same type newly designed compressor

providing a technical support for discrete experimental data mining of axial flow compressors.