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Dynamical mechanism in aero-engine gas path system using minimum spanning tree and detrended cross-correlation analysis

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  • Dong, Keqiang
  • Zhang, Hong
  • Gao, You

Abstract

Identifying the mutual interaction in aero-engine gas path system is a crucial problem that facilitates the understanding of emerging structures in complex system. By employing the multiscale multifractal detrended cross-correlation analysis method to aero-engine gas path system, the cross-correlation characteristics between gas path system parameters are established. Further, we apply multiscale multifractal detrended cross-correlation distance matrix and minimum spanning tree to investigate the mutual interactions of gas path variables. The results can infer that the low-spool rotor speed (N1) and engine pressure ratio (EPR) are main gas path parameters. The application of proposed method contributes to promote our understanding of the internal mechanisms and structures of aero-engine dynamics.

Suggested Citation

  • Dong, Keqiang & Zhang, Hong & Gao, You, 2017. "Dynamical mechanism in aero-engine gas path system using minimum spanning tree and detrended cross-correlation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 363-369.
    • Handle: RePEc:eee:phsmap:v:465:y:2017:i:c:p:363-369
    DOI: 10.1016/j.physa.2016.08.046
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    1. Dong, Keqiang & Long, Linan & Zhang, Hong & Gao, You, 2018. "The mutual information based minimum spanning tree to detect and evaluate dependencies between aero-engine gas path system variables," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 248-253.
    2. Dong, Keqiang & Long, Linan & Zhang, Hong & Su, Xieyang, 2019. "The Lempel–Ziv measure based pedigree map to detect and evaluate correlation between aero-engine gas path system variables," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1080-1087.

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