关键词: 压气机；失速；喘振；检测；信息融合；相关系数

Abstract: A general algorithm based on D-S (Dempster-Shafer) evidence fusion is proposed to detect complicated aerodynamic instability phenomena in high-speed multi-stage axial flow compressors. The short-term energy is adopted as a feature in time domain to denote the amplitude characteristic of dynamic pressures in the procedure of aerodynamic instability of compressors，while the spectral correlation coefficient is selected to index the variability of spectra. These features are treated as two evidences of instability phenomena. The mass functions are designed regarding to their statistical distributions. The mass function of the joined evidences is calculated with the Dempster combination rule. Finally，the decision of compressor status such as steady，stall，surge or instable is made by comparing mass values of single evidences or joined evidence with their thresholds respectively. Furthermore，this method is extended to a multi-sensor fusion model of aerodynamic instability detection. Characterized by low computational requirements，this method is suitable for an online detection system. With data acquired during physical compressor experiments on a test rig，it is illustrated that alarms of aerodynamic instabilities could be sent out within several milliseconds.

Key words: Compressor；Stall；Surge；Detection；Information fusion；Correlation coefficient