Chinese Journal of Ship Research, Volume. 20, Issue 2, 77(2025)

Fault diagnosis of ship diesel power distribution system based on WOA-RF algorithm

Weibo LI1,2, Feng GAO1, Peng XIAO1, Kangzheng HUANG1, Daojie RUAN1, and Junzhuo GAO1
Author Affiliations
  • 1School of Automation, Wuhan University of Technology, Wuhan 430070, China
  • 2College of Electrical Engineering, Northwest Minzu University, Lanzhou 730124, China
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    References(14)

    [8] [8] ZHONG G Q, WANG H Y, ZHANG K Y, et al. Fault diagnosis of marine diesel engine based on deep belief wk[C]Proceedings of 2019 Chinese Automation Congress. Hangzhou, China: IEEE, 2019: 34153419. doi: 10.1109CAC48633.2019.8997060.

    [15] [15] AMY J V. Considerations in the design of naval electric power systems[C]Proceedings of the IEEE Power Engineering Society Summer Meeting. Chicago: IEEE, 2002: 331335. doi: 10.1109PESS.2002.1043244.

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    Weibo LI, Feng GAO, Peng XIAO, Kangzheng HUANG, Daojie RUAN, Junzhuo GAO. Fault diagnosis of ship diesel power distribution system based on WOA-RF algorithm[J]. Chinese Journal of Ship Research, 2025, 20(2): 77

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    Paper Information

    Category: Ship Intelligent O&M, and Fault Diagnosis

    Received: Sep. 18, 2024

    Accepted: --

    Published Online: May. 15, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.04193

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