Experiment of the algorithm of detecting the stall inception for the subsonic compressor

Man Gao, Wu Li Chu, Yan Hui Wu, Hao Guang Zhang, Qing Peng Li

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

To study an effective algorithm of detecting the stall inception signal for the axial compressor, the subsonic axial-flow isolated rotor was gradually pushed to stall at the different rotor speed to measure dynamic pressure signal at the different axial position of blade tips. Then the test data with the autocorrelation analysis and the variance analysis was studied. Test data presented show that the compressor stall is caused by the spike and the stall inception signal can be detected obviously near the rotor leading edge. Finally, the reaction time of autocorrelation analysis is longer than that of the variance analysis for the compressor. Thus, autocorrelation analysis is more effective to detect the stall inception.

Original languageEnglish
Pages (from-to)398-404
Number of pages7
JournalTuijin Jishu/Journal of Propulsion Technology
Volume33
Issue number3
StatePublished - Jun 2012

Keywords

  • Axial compressor
  • Correlation analysis
  • The spike stall
  • The stall warning
  • Variance analysis

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