为了得到压气机工作状态的稳定观测点,并建立压气机近喘失速工作状态与压气机压力信号的相关关系,本文针对低速双级轴流式压气机,分别进行了均匀进气及畸变进气条件下不同转速的近喘失速试验,实时动态测量标定压气机由正常工作到失速工况下压力信号,并在时域内提出了一种基于自相关系数的压气机失速预测算法,对进口、出口以及压气机首级转子叶尖位置压力信号预测分析.结果表明所提出的预测算法具有良好的失速预测能力,且发现叶尖处离叶片前缘20%的位置,最适宜作为压气机失速预测的观测点,此时压气机叶尖压力自相关性数据与压气机喘振裕度具有明显的单调相关性.%In order to obtain the steady working point of compressor working state and build the relation-ship between compressor working state of near surge stall and compressor pressure signal ,the near surge stall test for the low speed two-stage axial compressor is carried out at different speeds under uni-form inlet and distortion inlet to measure the pressure signals of the compressor from normal operation to stall condition in real time ,and a compressor stall prediction algorithm based on autocorrelation coef-ficient is proposed in the time domain to predict and analyze the pressure signals of compressor inlet , outlet and the tip position of the head rotor .The results show that the proposed prediction algorithm has good stall prediction ability ,and the blade tip ,20% from the blade leading edge ,is most suitable as the observation points for the stall prediction of the compressor ,w here the compressor blade tip pres-sure self correlation data has obvious monotonic correlation with compressor surge margin .
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