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Operation Modeling Within the Framework of Life Test Optimization for Gas Turbine Engine Based on Life Cycle Model.

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Title: Operation Modeling Within the Framework of Life Test Optimization for Gas Turbine Engine Based on Life Cycle Model.
Authors: Kondratyeva, Natalya1 (AUTHOR) knv24@mail.ru, Valeev, Sagit1 (AUTHOR)
Source: Energies (19961073). Dec2024, Vol. 17 Issue 24, p6225. 15p.
Subjects: Internal combustion engines, Engine testing, Turbine efficiency, Big data, Weather
Abstract: The choice of parameters for the life tests of gas turbine engines is a complex multi-criteria task. In this article, as a tool for solving this task, it is proposed to use simulation modeling of the engine life cycle to select gas turbine engine life test parameters. A three-level system for collecting and processing operational data is considered. It is suggested to combine big data and simulation technologies for engine diagnostics, forecasting, and refining the operation model based on aggregated data on aircraft schedules, flight geography, and weather conditions. Special attention is paid to the choice of a method for modeling the operation of aircraft engines. The authors have developed a number of possible methods for a modeling operation within the framework of the engine life cycle model. The results of a comparative assessment of the proposed methods are presented using the example of choosing the parameters of resource tests of an auxiliary power plant. The analysis of the operation is carried out. [ABSTRACT FROM AUTHOR]
Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
An: 181914968
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PubType: Academic Journal
PubTypeId: academicJournal
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  Label: Title
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  Data: Operation Modeling Within the Framework of Life Test Optimization for Gas Turbine Engine Based on Life Cycle Model.
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  Data: <searchLink fieldCode="AR" term="%22Kondratyeva%2C+Natalya%22">Kondratyeva, Natalya</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> knv24@mail.ru</i><br /><searchLink fieldCode="AR" term="%22Valeev%2C+Sagit%22">Valeev, Sagit</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Dec2024, Vol. 17 Issue 24, p6225. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Internal+combustion+engines%22">Internal combustion engines</searchLink><br /><searchLink fieldCode="DE" term="%22Engine+testing%22">Engine testing</searchLink><br /><searchLink fieldCode="DE" term="%22Turbine+efficiency%22">Turbine efficiency</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Weather%22">Weather</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The choice of parameters for the life tests of gas turbine engines is a complex multi-criteria task. In this article, as a tool for solving this task, it is proposed to use simulation modeling of the engine life cycle to select gas turbine engine life test parameters. A three-level system for collecting and processing operational data is considered. It is suggested to combine big data and simulation technologies for engine diagnostics, forecasting, and refining the operation model based on aggregated data on aircraft schedules, flight geography, and weather conditions. Special attention is paid to the choice of a method for modeling the operation of aircraft engines. The authors have developed a number of possible methods for a modeling operation within the framework of the engine life cycle model. The results of a comparative assessment of the proposed methods are presented using the example of choosing the parameters of resource tests of an auxiliary power plant. The analysis of the operation is carried out. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.3390/en17246225
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 15
        StartPage: 6225
    Subjects:
      – SubjectFull: Internal combustion engines
        Type: general
      – SubjectFull: Engine testing
        Type: general
      – SubjectFull: Turbine efficiency
        Type: general
      – SubjectFull: Big data
        Type: general
      – SubjectFull: Weather
        Type: general
    Titles:
      – TitleFull: Operation Modeling Within the Framework of Life Test Optimization for Gas Turbine Engine Based on Life Cycle Model.
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            NameFull: Kondratyeva, Natalya
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            NameFull: Valeev, Sagit
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              Text: Dec2024
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              Y: 2024
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              Value: 17
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              Value: 24
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            – TitleFull: Energies (19961073)
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