Failure pressure prediction of pipeline with single corrosion defect using artificial neural network

Kiu Toh Chin, Thibankumar Arumugam, Saravanan Karuppanan*, Mark Ovinis

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    1 Citation (SciVal)
    Original languageEnglish
    Pages (from-to)166-171
    Number of pages6
    JournalScience and Technologies: Oil and Oil Products Pipeline Transportation
    Volume11
    Issue number2
    DOIs
    Publication statusPublished (VoR) - 2021

    Funding

    This work was supported by Yayasan Universiti Technologi PETRONAS, Malaysia [0153AA-E10].

    FundersFunder number
    Yayasan UTP0153AA-E10

      Keywords

      • Artificial neural network
      • Failure pressure
      • Internal pressure
      • Pipeline corrosion

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