Experimental data-driven multimodal approach for detection and localization of external disturbances in oil and gas pipelines using vibration characteristics

<p dir="ltr">Monitoring pipeline infrastructure is essential for ensuring safety, efficiency, and environmental sustainability in energy transportation. External disturbances, such as knocking and drilling, are common challenges that can impact pipeline integrity. The proposed approa...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Asan GA Muthalif (22827512) (author)
مؤلفون آخرون: Bhumiben Ankit Shah (22827515) (author), Kishor Kumar Sadasivuni (8036039) (author)
منشور في: 2025
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author Asan GA Muthalif (22827512)
author2 Bhumiben Ankit Shah (22827515)
Kishor Kumar Sadasivuni (8036039)
author2_role author
author
author_facet Asan GA Muthalif (22827512)
Bhumiben Ankit Shah (22827515)
Kishor Kumar Sadasivuni (8036039)
author_role author
dc.creator.none.fl_str_mv Asan GA Muthalif (22827512)
Bhumiben Ankit Shah (22827515)
Kishor Kumar Sadasivuni (8036039)
dc.date.none.fl_str_mv 2025-07-05T03:00:00Z
dc.identifier.none.fl_str_mv 10.1177/14613484251348706
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Experimental_data-driven_multimodal_approach_for_detection_and_localization_of_external_disturbances_in_oil_and_gas_pipelines_using_vibration_characteristics/30859865
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Engineering
Manufacturing engineering
Mechanical engineering
detection
external disturbance
localization
oil and gas pipeline
statistical analysis
dc.title.none.fl_str_mv Experimental data-driven multimodal approach for detection and localization of external disturbances in oil and gas pipelines using vibration characteristics
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">Monitoring pipeline infrastructure is essential for ensuring safety, efficiency, and environmental sustainability in energy transportation. External disturbances, such as knocking and drilling, are common challenges that can impact pipeline integrity. The proposed approach develops a multimodal framework for detecting and localizing external disturbances in oil and gas pipelines by integrating statistical methods, signal processing, and advanced diagnostics. The experimental study was conducted on pipelines under three conditions: healthy, knocking, and drilling to assess the capability of the framework to detect and localize external disturbances. The proposed approach effectively classified pipeline conditions. External disturbance localization was precise for knocking disturbances due to their distinct high-frequency characteristics. However, drilling localization was challenging with the current experimental setup. Drilling generated low-frequency vibrations with longer wavelengths, reducing energy loss and broader time responses across closely spaced nodes in the 2-meter pipe setup. This behavior provides insight into the spatial arrangement of the optimal node spacing for effective localization of low-frequency disturbances in long-range pipeline systems.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Low Frequency Noise, Vibration and Active Control<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1177/14613484251348706" target="_blank">https://dx.doi.org/10.1177/14613484251348706</a></p>
eu_rights_str_mv openAccess
id Manara2_7ac27b4a50f91a704a5a1d116546291c
identifier_str_mv 10.1177/14613484251348706
network_acronym_str Manara2
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oai_identifier_str oai:figshare.com:article/30859865
publishDate 2025
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spelling Experimental data-driven multimodal approach for detection and localization of external disturbances in oil and gas pipelines using vibration characteristicsAsan GA Muthalif (22827512)Bhumiben Ankit Shah (22827515)Kishor Kumar Sadasivuni (8036039)EngineeringManufacturing engineeringMechanical engineeringdetectionexternal disturbancelocalizationoil and gas pipelinestatistical analysis<p dir="ltr">Monitoring pipeline infrastructure is essential for ensuring safety, efficiency, and environmental sustainability in energy transportation. External disturbances, such as knocking and drilling, are common challenges that can impact pipeline integrity. The proposed approach develops a multimodal framework for detecting and localizing external disturbances in oil and gas pipelines by integrating statistical methods, signal processing, and advanced diagnostics. The experimental study was conducted on pipelines under three conditions: healthy, knocking, and drilling to assess the capability of the framework to detect and localize external disturbances. The proposed approach effectively classified pipeline conditions. External disturbance localization was precise for knocking disturbances due to their distinct high-frequency characteristics. However, drilling localization was challenging with the current experimental setup. Drilling generated low-frequency vibrations with longer wavelengths, reducing energy loss and broader time responses across closely spaced nodes in the 2-meter pipe setup. This behavior provides insight into the spatial arrangement of the optimal node spacing for effective localization of low-frequency disturbances in long-range pipeline systems.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Low Frequency Noise, Vibration and Active Control<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1177/14613484251348706" target="_blank">https://dx.doi.org/10.1177/14613484251348706</a></p>2025-07-05T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1177/14613484251348706https://figshare.com/articles/journal_contribution/Experimental_data-driven_multimodal_approach_for_detection_and_localization_of_external_disturbances_in_oil_and_gas_pipelines_using_vibration_characteristics/30859865CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/308598652025-07-05T03:00:00Z
spellingShingle Experimental data-driven multimodal approach for detection and localization of external disturbances in oil and gas pipelines using vibration characteristics
Asan GA Muthalif (22827512)
Engineering
Manufacturing engineering
Mechanical engineering
detection
external disturbance
localization
oil and gas pipeline
statistical analysis
status_str publishedVersion
title Experimental data-driven multimodal approach for detection and localization of external disturbances in oil and gas pipelines using vibration characteristics
title_full Experimental data-driven multimodal approach for detection and localization of external disturbances in oil and gas pipelines using vibration characteristics
title_fullStr Experimental data-driven multimodal approach for detection and localization of external disturbances in oil and gas pipelines using vibration characteristics
title_full_unstemmed Experimental data-driven multimodal approach for detection and localization of external disturbances in oil and gas pipelines using vibration characteristics
title_short Experimental data-driven multimodal approach for detection and localization of external disturbances in oil and gas pipelines using vibration characteristics
title_sort Experimental data-driven multimodal approach for detection and localization of external disturbances in oil and gas pipelines using vibration characteristics
topic Engineering
Manufacturing engineering
Mechanical engineering
detection
external disturbance
localization
oil and gas pipeline
statistical analysis