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Detect and evaluate dependencies between aero-engine gas path system variables based on multiscale horizontal visibility graph analysis

Author

Listed:
  • Zhang, Hong
  • Long, Linan
  • Dong, Keqiang

Abstract

Identifying the interaction in aero-engine gas path system is a crucial problem that facilitates the understanding of emerging structures in the complex system. By employing the multiscale horizontal visibility graph method to aero-engine gas path system, the interaction characteristics between gas path system parameters are established. Comparing with normalized mutual information method, the advantage of the multiscale horizontal visibility graph method in detecting interaction is showed. And then, the effect of time scaleson the multiscale horizontal visibility graph analysis is investigated. The results show that the multiscale horizontal visibility graph method is effective to detect the interaction of gas path system parameters.

Suggested Citation

  • Zhang, Hong & Long, Linan & Dong, Keqiang, 2019. "Detect and evaluate dependencies between aero-engine gas path system variables based on multiscale horizontal visibility graph analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    • Handle: RePEc:eee:phsmap:v:526:y:2019:i:c:s0378437119304066
    DOI: 10.1016/j.physa.2019.04.066
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    Cited by:

    1. Zhao, Xiaojun & Zhang, Pengyuan, 2020. "Multiscale horizontal visibility entropy: Measuring the temporal complexity of financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    2. Liu, Jin-Long & Yu, Zu-Guo & Zhou, Yu, 2024. "A cross horizontal visibility graph algorithm to explore associations between two time series," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).

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