IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i18p4539-d1474854.html
   My bibliography  Save this article

Intelligent Identification of Hidden Dangers in Hydrogen Pipeline Transmission Station Using GWO-Optimized Apriori Algorithm

Author

Listed:
  • Chaoming Wang

    (State Key Laboratory of Oil and Gas Equipment, CNPC Tubular Goods Research Institute, Xi’an 710077, China)

  • Anqing Fu

    (State Key Laboratory of Oil and Gas Equipment, CNPC Tubular Goods Research Institute, Xi’an 710077, China)

  • Weidong Li

    (College of Chemical Engineering, Fuzhou University, Fuzhou 350108, China)

  • Mingxing Li

    (National Engineering Laboratory of Low Permeability Oil-Gas Field Exploration and Development, Xi’an 710018, China
    Oil & Gas Technology Research Institute of ChangQing Oilfield Company, Xi’an 710018, China)

  • Tingshu Chen

    (State Key Laboratory of Oil and Gas Equipment, CNPC Tubular Goods Research Institute, Xi’an 710077, China)

Abstract

This work proposes an intelligent grey-wolf-optimizer-improved Apriori algorithm (GWO-Apriori) to mine the association rules of hidden dangers in hydrogen pipeline transmission stations. The optimal minimum support and minimum confidence are determined by GWO instead of the time-consuming trial approach. Experiments show that the average support and average confidence of association rules using GWO-Apriori increase by 29.8% and 21.3%, respectively, when compared with traditional Apriori. Overall, 59 ineffective association rules out of the total 105 rules are filtered by GWO, which dramatically improves data mining effectiveness. Moreover, 23 illogical association rules are excluded, and 12 new strong association rules ignored by the traditional Apriori are successfully mined. Compared with the inefficient and labor-intensive manual investigation, the intelligent GWO-Apriori algorithm dramatically improves pertinency and efficiency of hidden danger identification in hydrogen pipeline transmission stations.

Suggested Citation

  • Chaoming Wang & Anqing Fu & Weidong Li & Mingxing Li & Tingshu Chen, 2024. "Intelligent Identification of Hidden Dangers in Hydrogen Pipeline Transmission Station Using GWO-Optimized Apriori Algorithm," Energies, MDPI, vol. 17(18), pages 1-12, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:18:p:4539-:d:1474854
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/18/4539/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/18/4539/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tsiklios, C. & Hermesmann, M. & Müller, T.E., 2022. "Hydrogen transport in large-scale transmission pipeline networks: Thermodynamic and environmental assessment of repurposed and new pipeline configurations," Applied Energy, Elsevier, vol. 327(C).
    Full references (including those not matched with items on IDEAS)

    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. Gustavo Ezequiel Martinez & Roel Degens & Gabriela Espadas-Aldana & Daniele Costa & Giuseppe Cardellini, 2024. "Prospective Life Cycle Assessment of Hydrogen: A Systematic Review of Methodological Choices," Energies, MDPI, vol. 17(17), pages 1-15, August.
    2. Marcelo Azevedo Benetti & Florin Iov, 2023. "A Novel Scheme to Allocate the Green Energy Transportation Costs—Application to Carbon Captured and Hydrogen," Energies, MDPI, vol. 16(7), pages 1-20, March.
    3. José Pereira & Reinaldo Souza & Jeferson Oliveira & Ana Moita, 2024. "Hydrogen Production, Transporting and Storage Processes—A Brief Review," Clean Technol., MDPI, vol. 6(3), pages 1-54, September.
    4. Arias, Ignacio & Battisti, Felipe G. & Romero-Ramos, J.A. & Pérez, Manuel & Valenzuela, Loreto & Cardemil, José & Escobar, Rodrigo, 2024. "Assessing system-level synergies between photovoltaic and proton exchange membrane electrolyzers for solar-powered hydrogen production," Applied Energy, Elsevier, vol. 368(C).
    5. Neumann, Jannik & Fradet, Quentin & Scholtissek, Arne & Dammel, Frank & Riedel, Uwe & Dreizler, Andreas & Hasse, Christian & Stephan, Peter, 2024. "Thermodynamic assessment of an iron-based circular energy economy for carbon-free power supply," Applied Energy, Elsevier, vol. 368(C).
    6. Emanuele Sgambitterra & Leonardo Pagnotta, 2024. "Permeability: The Driving Force That Influences the Mechanical Behavior of Polymers Used for Hydrogen Storage and Delivery," Energies, MDPI, vol. 17(9), pages 1-24, May.
    7. Zhanhui Yao & Wei Qi & Jia Wang & Zhensen Ding & Xiaolong Jiang & Yingchen Hong & Yuejuan Li, 2023. "Safety Risk and Strategy Analysis of On-Board Hydrogen System of Hydrogen Fuel Cell Vehicles in China," Energies, MDPI, vol. 16(23), pages 1-11, November.
    8. Hermesmann, M. & Tsiklios, C. & Müller, T.E., 2023. "The environmental impact of renewable hydrogen supply chains: Local vs. remote production and long-distance hydrogen transport," Applied Energy, Elsevier, vol. 351(C).

    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:17:y:2024:i:18:p:4539-:d:1474854. 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.