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Intelligent Prediction of the Internal Corrosion Rate in Submarine Oil and Gas Pipelines Based on KPCA-ISSA-MKSVR Combined Strategy

dc.contributor.authorJiang, Hong-ye
dc.contributor.authorLei, Peng-zheng
dc.contributor.authorLi, You-lv
dc.contributor.authorChi, Ming-hua
dc.contributor.authorXu, Tao-long
dc.contributor.authorLiao, Yi
dc.date.accessioned2026-08-20T12:05:36Z
dc.date.available2026-08-20T12:05:36Z
dc.date.copyright2025/06/20
dc.date.issued2025
dc.identifier.otherJPSEA2.PSENG-1901.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313087
dc.description.abstractAbstractGiven the increasingly prominent problem of pipeline internal corrosion leakage in long-term service submarine oil and gas pipelines, this paper proposes a KPCA-ISSA-MKSVR combined prediction model for accurate internal corrosion rate prediction. ...
dc.publisherAmerican Society of Civil Engineers
dc.titleIntelligent Prediction of the Internal Corrosion Rate in Submarine Oil and Gas Pipelines Based on KPCA-ISSA-MKSVR Combined Strategy
dc.typeJournal Article
dc.journal.volume16
dc.journal.issue4
dc.journal.titleJournal of Pipeline Systems Engineering and Practice
dc.identifier.doi10.1061/JPSEA2.PSENG-1901
dc.journal.fristpage04025051-1
dc.journal.lastpage04025051-20
dc.page20
dc.treeJournal of Pipeline Systems Engineering and Practice:;2025:;Volume ( 016 ):;issue: 004
dc.contenttypeFulltext


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