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Aeroengine data reconciliation model based on cooperative working equations

Author

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  • Yang, Xuesen
  • Yang, Qian
  • Dong, Wei

Abstract

Aeroengine measuring data usually contain random errors and gross errors. Meanwhile some parameters cannot be measured directly due to costs or technology limitations. To improve the accuracy of these data, this paper proposes a novel reconciliation model based on cooperative working equations and characteristic maps. The interior-point method is applied to solve the objective functions and constraint equations. Robust estimators are verified, and the moving track of the cooperative working points during the reconciliation process is analyzed. The results show that the errors of the measured and unmeasured data can be reduced through data reconciliation, and the proposed data reconciliation model is not sensitive to gross errors, thereby indicating satisfactory performance.

Suggested Citation

  • Yang, Xuesen & Yang, Qian & Dong, Wei, 2019. "Aeroengine data reconciliation model based on cooperative working equations," Energy, Elsevier, vol. 186(C).
    • Handle: RePEc:eee:energy:v:186:y:2019:i:c:s0360544219315920
    DOI: 10.1016/j.energy.2019.115914
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    Cited by:

    1. Yu, Jianxi & Han, Wenquan & Chen, Kang & Liu, Pei & Li, Zheng, 2022. "Gross error detection in steam turbine measurements based on data reconciliation of inequality constraints," Energy, Elsevier, vol. 253(C).
    2. Yu, Jianxi & Liu, Pei & Li, Zheng, 2021. "Data reconciliation of the thermal system of a double reheat power plant for thermal calculation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).

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