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Non-linear Estimation Methods in Multi-objective Problems of Robust Optimal Design and Diagnostics of Systems Under Uncertainties

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Integrated Computer Technologies in Mechanical Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1113))

Abstract

The advanced methodology of solution synthesis for multi-objective stochastic optimization problems is offered and realized. To validate the methodology regarding to some particular object one solved the problem of robust optimal designing of centrifugal impeller fitted with backward curved blades in the conditions of stochastic nature of the input data.

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References

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Author information

Authors and Affiliations

  1. National Aerospace University “Kharkiv Aviation Institute”, Chkalova str., 17, Kharkiv, 61070, Ukraine

    Ievgen Meniailov, Dmytro Chumachenko, Kseniia Bazilevych, Sergiy Chernysh & Iryna Trofymova

  2. V.N. Karazin Kharkiv National University, 4, Independence sq., Kharkiv, 61022, Ukraine

    Mykhaylo Ugryumov

Authors
  1. Ievgen Meniailov
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  2. Mykhaylo Ugryumov
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  3. Dmytro Chumachenko
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  4. Kseniia Bazilevych
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  5. Sergiy Chernysh
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  6. Iryna Trofymova
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Corresponding author

Correspondence to Ievgen Meniailov .

Editor information

Editors and Affiliations

  1. National Aerospace University "Kharkiv Aviation Institute", Kharkov, Ukraine

    Mykola Nechyporuk

  2. National Aerospace University "Kharkiv Aviation Institute", Kharkov, Ukraine

    Vladimir Pavlikov

  3. National Aerospace University "Kharkiv Aviation Institute", Kharkov, Ukraine

    Dmitriy Kritskiy

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Meniailov, I., Ugryumov, M., Chumachenko, D., Bazilevych, K., Chernysh, S., Trofymova, I. (2020). Non-linear Estimation Methods in Multi-objective Problems of Robust Optimal Design and Diagnostics of Systems Under Uncertainties. In: Nechyporuk, M., Pavlikov, V., Kritskiy, D. (eds) Integrated Computer Technologies in Mechanical Engineering. Advances in Intelligent Systems and Computing, vol 1113. Springer, Cham. https://doi.org/10.1007/978-3-030-37618-5_18

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  • DOI: https://doi.org/10.1007/978-3-030-37618-5_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37617-8

  • Online ISBN: 978-3-030-37618-5

  • eBook Packages: EngineeringEngineering (R0)

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