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Comparison of various regression models for predicting compressor and turbine performance parameters

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  • Yazar, Isil
  • Yavuz, Hasan Serhan
  • Yavuz, Arzu Altin

Abstract

This paper investigates various regression models to predict the compressor and turbine map parameters. To this end, we used the data measured from two different types of compressors and turbines. The compressor is basically a single stage radial machine, whereas, the turbine is formed of high pressure and low pressure parts. The emphasis of this study is to construct various models for prediction of corrected mass flow rate and isentropic efficiency. Except for prediction capabilities, the study also compares the regression model’s performances. Results show that the designed models can be used for the development of dynamic mathematical model of a gas turbine engine.

Suggested Citation

  • Yazar, Isil & Yavuz, Hasan Serhan & Yavuz, Arzu Altin, 2017. "Comparison of various regression models for predicting compressor and turbine performance parameters," Energy, Elsevier, vol. 140(P2), pages 1398-1406.
    • Handle: RePEc:eee:energy:v:140:y:2017:i:p2:p:1398-1406
    DOI: 10.1016/j.energy.2017.05.061
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    References listed on IDEAS

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    Cited by:

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    7. Wang, Qiang & Song, Xiaoxin, 2019. "Forecasting China's oil consumption: A comparison of novel nonlinear-dynamic grey model (GM), linear GM, nonlinear GM and metabolism GM," Energy, Elsevier, vol. 183(C), pages 160-171.

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