Aeroengine data reconciliation model based on cooperative working equations

Xuesen Yang, Qian Yang and Wei Dong

Energy, 2019, vol. 186, issue C

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.

Keywords: Aeroengine; Data reconciliation model; Cooperative working equations; Characteristic maps; Interior-point method; Robust estimators (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:186:y:2019:i:c:s0360544219315920

DOI: 10.1016/j.energy.2019.115914

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