Chinese Journal of Ship Research, Volume. 18, Issue 3, 222(2023)

Hybrid deep learning-based online identification method for key parameters of gas turbine dynamic process

Shoutai SUN1, Yali XUE2, Mingchun WANG1, and Li SUN1
Author Affiliations
  • 1Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210018, China
  • 2State Key Laboratory of Electric Power Systems, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
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    Shoutai SUN, Yali XUE, Mingchun WANG, Li SUN. Hybrid deep learning-based online identification method for key parameters of gas turbine dynamic process[J]. Chinese Journal of Ship Research, 2023, 18(3): 222

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    Paper Information

    Category: Marine Machinery, Electrical Equipment and Automation

    Received: May. 18, 2022

    Accepted: --

    Published Online: Mar. 20, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.02914

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