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September 28, 2025Journal of Turbomachinery

A Corner Separation Sensing Method Based on Shallow Neural Networks in Compressor Cascade

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Authors

SCShuaitong ChenThe University of Texas MD Anderson Cancer CenterPYPengcheng YangHuaqiao UniversitySCShaowen ChenHarbin Institute of Technology

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Implication

This method demonstrates effective real-time corner separation assessments in compressor cascades, suggesting improved flow control.

Key Points

  • The method accurately quantifies corner separation with a Pearson correlation coefficient of 0.9415.
  • Rapid detection is achieved by reconstructing pressure distribution from data collected by nine sensors.
  • Experimental validation under varying angles of attack shows the method's effectiveness in capturing flow changes.
  • The use of a leverage score method enhances sensor placement to improve model performance in varied conditions.

Cite This Study

Chen et al. (2025) studied this question.

synapsesocial.com/papers/68d9051441e1c178a14f494ahttps://doi.org/10.1115/1.4069980
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