Researching | Rapid diagnosis and active disturbance rejection control of compressor surge based on hybrid deep learning

Chinese Journal of Ship Research, Volume. 19, Issue 2, 187(2024)

Rapid diagnosis and active disturbance rejection control of compressor surge based on hybrid deep learning

Shoutai SUN^1,2, Bing TANG³, Yali XUE^4,5, and Li SUN^1,2

Author Affiliations

¹School of Energy and Environment, Southeast University, Nanjing 210018, China

²Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing 210018, China

³AVIC Jincheng Nanjing Engineering Institute of Aircraft System, Nanjing 211100, China

⁴Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China

⁵State Key Laboratory of Electric Power Systems, Tsinghua University, Beijing 100084, China

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Shoutai SUN, Bing TANG, Yali XUE, Li SUN. Rapid diagnosis and active disturbance rejection control of compressor surge based on hybrid deep learning[J]. Chinese Journal of Ship Research, 2024, 19(2): 187

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Paper Information

Category: Marine Machinery, Electrical Equipment and Automation

Received: Jan. 30, 2023

Accepted: --

Published Online: Mar. 18, 2025

The Author Email:

DOI:10.19693/j.issn.1673-3185.03259

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