南京航空航天大学学报2017，Vol.49Issue(5)：684-692,9.DOI:10.16356/j.1005-2615.2017.05.012
基于压力信号分析的轴流式压气机失速预测
Study on Stall Detection of Axial Compressor Through Pressure Signal Analysis
摘要
Abstract
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 .关键词
失速预测/轴流式压气机/压力信号Key words
stall detection/axial compressor/pressure signal分类
航空航天引用本文复制引用
张海波,徐植桂..基于压力信号分析的轴流式压气机失速预测[J].南京航空航天大学学报,2017,49(5):684-692,9.基金项目
中央高校科研业务费(NZ2016103)资助项目. （NZ2016103）
