IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i4p1287-d746138.html
   My bibliography  Save this article

Fault Diagnosis Technology for Ship Electrical Power System

Author

Listed:
  • Chaochun Yu

    (School of Electronic Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China)

  • Liang Qi

    (School of Electronic Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China)

  • Jie Sun

    (School of Electronic Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China)

  • Chunhui Jiang

    (Electrical Design Department, Zhenjiang Hongye Science & Technology Co., Ltd., Zhenjiang 212000, China)

  • Jun Su

    (Mechanical Design Department, Zhenjiang Hongye Science & Technology Co., Ltd., Zhenjiang 212000, China)

  • Wentao Shu

    (Electrical Design Department, Zhenjiang Hongye Science & Technology Co., Ltd., Zhenjiang 212000, China)

Abstract

This paper proposes a fault diagnosis method for ship electrical power systems on the basis of an improved convolutional neural network (CNN) to support normal ship operation. First, according to the mathematical model of the ship electrical power system, the simulation model of the ship electrical power system is built using the MATLAB/Simulink simulation software platform in order to understand the normal working state and fault state of the generator and load in the power system. Then, the model is simulated to generate the fault response curve, and the picture dataset of the network model is obtained. Second, a CNN fault diagnosis model is designed using TensorFlow, an open-source tool for deep learning. Finally, network model training is performed, and the optimal diagnosis results of the ship electrical power system are obtained to realize structural parameter optimization and diagnosis. The diagnosis results show that the established simulation model and improved CNN can provide support for fault diagnosis of the ship electrical power system, improve the operation stability and safety of the ship electrical power system, and ensure safety of the crew.

Suggested Citation

  • Chaochun Yu & Liang Qi & Jie Sun & Chunhui Jiang & Jun Su & Wentao Shu, 2022. "Fault Diagnosis Technology for Ship Electrical Power System," Energies, MDPI, vol. 15(4), pages 1-16, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1287-:d:746138
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/4/1287/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/4/1287/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hong-Keun Ji & Guoming Wang & Gyung-Suk Kil, 2020. "Optimal Detection and Identification of DC Series Arc in Power Distribution System on Shipboards," Energies, MDPI, vol. 13(22), pages 1-16, November.
    2. Monaaf D. A. Al-Falahi & Tomasz Tarasiuk & Shantha Gamini Jayasinghe & Zheming Jin & Hossein Enshaei & Josep M. Guerrero, 2018. "AC Ship Microgrids: Control and Power Management Optimization," Energies, MDPI, vol. 11(6), pages 1-20, June.
    3. Haris E. Psillakis & Antonio T. Alexandridis, 2020. "Coordinated Excitation and Static Var Compensator Control with Delayed Feedback Measurements in SGIB Power Systems," Energies, MDPI, vol. 13(9), pages 1-18, May.
    4. Aleksandar Cuculić & Dubravko Vučetić & Rene Prenc & Jasmin Ćelić, 2019. "Analysis of Energy Storage Implementation on Dynamically Positioned Vessels," Energies, MDPI, vol. 12(3), pages 1-19, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Keun-Young Yoon & Sang-Taek Lee, 2023. "Performance Improvement of Permanent-Magnet-Synchronous Motors through Rotor Shape Optimization of Marine Blowing System with High-Speed Rotation," Energies, MDPI, vol. 16(14), pages 1-21, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Al-Falahi, Monaaf D.A. & Jayasinghe, Shantha D.G. & Enshaei, Hossein, 2019. "Hybrid algorithm for optimal operation of hybrid energy systems in electric ferries," Energy, Elsevier, vol. 187(C).
    2. Dariusz Tarnapowicz & Sergey German-Galkin & Arkadiusz Nerc & Marek Jaskiewicz, 2023. "Improving the Energy Efficiency of a Ship’s Power Plant by Using an Autonomous Hybrid System with a PMSG," Energies, MDPI, vol. 16(7), pages 1-19, March.
    3. Sanath Alahakoon & Rajib Baran Roy & Shantha Jayasinghe Arachchillage, 2023. "Optimizing Load Frequency Control in Standalone Marine Microgrids Using Meta-Heuristic Techniques," Energies, MDPI, vol. 16(13), pages 1-23, June.
    4. Chunwang Xiaogeng LiRen & Xiaojun Ma & Fuxiang Chen & Zhicheng Yang & Sandeep Panchal, 2022. "Simulation and inspection of fault arc in building energy-saving distribution system," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 331-339, March.
    5. Mostafa Kermani & Giuseppe Parise & Ben Chavdarian & Luigi Martirano, 2020. "Ultracapacitors for Port Crane Applications: Sizing and Techno-Economic Analysis," Energies, MDPI, vol. 13(8), pages 1-19, April.
    6. Joao L. Afonso & Luiz A. Lisboa Cardoso & Delfim Pedrosa & Tiago J. C. Sousa & Luis Machado & Mohamed Tanta & Vitor Monteiro, 2020. "A Review on Power Electronics Technologies for Electric Mobility," Energies, MDPI, vol. 13(23), pages 1-61, December.
    7. Latif, Abdul & Hussain, S. M. Suhail & Das, Dulal Chandra & Ustun, Taha Selim, 2021. "Double stage controller optimization for load frequency stabilization in hybrid wind-ocean wave energy based maritime microgrid system," Applied Energy, Elsevier, vol. 282(PA).
    8. Trivyza, Nikoletta L. & Rentizelas, Athanasios & Theotokatos, Gerasimos & Boulougouris, Evangelos, 2022. "Decision support methods for sustainable ship energy systems: A state-of-the-art review," Energy, Elsevier, vol. 239(PC).
    9. Barone, G. & Buonomano, A. & Forzano, C. & Palombo, A., 2021. "Implementing the dynamic simulation approach for the design and optimization of ships energy systems: Methodology and applicability to modern cruise ships," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    10. Nur Najihah Abu Bakar & Josep M. Guerrero & Juan C. Vasquez & Najmeh Bazmohammadi & Yun Yu & Abdullah Abusorrah & Yusuf A. Al-Turki, 2021. "A Review of the Conceptualization and Operational Management of Seaport Microgrids on the Shore and Seaside," Energies, MDPI, vol. 14(23), pages 1-31, November.
    11. Jagdesh Kumar & Chethan Parthasarathy & Mikko Västi & Hannu Laaksonen & Miadreza Shafie-Khah & Kimmo Kauhaniemi, 2020. "Sizing and Allocation of Battery Energy Storage Systems in Åland Islands for Large-Scale Integration of Renewables and Electric Ferry Charging Stations," Energies, MDPI, vol. 13(2), pages 1-23, January.
    12. Andrzej Łebkowski & Wojciech Koznowski, 2020. "Analysis of the Use of Electric and Hybrid Drives on SWATH Ships," Energies, MDPI, vol. 13(24), pages 1-26, December.
    13. Dariusz Tarnapowicz & Sergey German-Galkin & Marek Staude, 2021. "Investigation Concerning the Excitation Loss of Synchronous Generators in a Stand-Alone Ship Power Plant," Energies, MDPI, vol. 14(10), pages 1-17, May.
    14. Jagdesh Kumar & Aushiq Ali Memon & Lauri Kumpulainen & Kimmo Kauhaniemi & Omid Palizban, 2019. "Design and Analysis of New Harbour Grid Models to Facilitate Multiple Scenarios of Battery Charging and Onshore Supply for Modern Vessels," Energies, MDPI, vol. 12(12), pages 1-18, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1287-:d:746138. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.