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    Intelligent Identification for Imbalanced Oil–Gas Pipeline Defects Based on Triple Attention Mechanism and Dual-Modal Deep Convolution Network

    Source: Journal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 003::page 04026023-1
    Author:
    Liao, Chunyan
    ,
    Liang, Wei
    ,
    Liu, Shuanglei
    ,
    Huang, Tianchang
    ,
    Wu, Linyu
    DOI: 10.1061/JPSEA2.PSENG-1971
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe class imbalance of crack defects in oil and gas pipelines presents a significant challenge to the diagnosis of pipeline integrity, and the scarcity of high-risk cracks can easily lead to the recognition models tending to predict them as the ...
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      Intelligent Identification for Imbalanced Oil–Gas Pipeline Defects Based on Triple Attention Mechanism and Dual-Modal Deep Convolution Network

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4313110
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    • Journal of Pipeline Systems Engineering and Practice

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    contributor authorLiao, Chunyan
    contributor authorLiang, Wei
    contributor authorLiu, Shuanglei
    contributor authorHuang, Tianchang
    contributor authorWu, Linyu
    date accessioned2026-08-20T12:06:40Z
    date available2026-08-20T12:06:40Z
    date copyright2026/03/30
    date issued2026
    identifier otherJPSEA2.PSENG-1971.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313110
    description abstractAbstractThe class imbalance of crack defects in oil and gas pipelines presents a significant challenge to the diagnosis of pipeline integrity, and the scarcity of high-risk cracks can easily lead to the recognition models tending to predict them as the ...
    publisherAmerican Society of Civil Engineers
    titleIntelligent Identification for Imbalanced Oil–Gas Pipeline Defects Based on Triple Attention Mechanism and Dual-Modal Deep Convolution Network
    typeJournal Article
    journal volume17
    journal issue3
    journal titleJournal of Pipeline Systems Engineering and Practice
    identifier doi10.1061/JPSEA2.PSENG-1971
    journal fristpage04026023-1
    journal lastpage04026023-20
    page20
    treeJournal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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