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

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Title: Experimental data-driven multimodal approach for detection and localization of external disturbances in oil and gas pipelines using vibration characteristics.
Authors: Muthalif, Asan GA1 (AUTHOR) drasan@qu.edu.qa, Shah, Bhumiben Ankit1 (AUTHOR), Sadasivuni, Kishor Kumar2 (AUTHOR)
Source: Journal of Low Frequency Noise, Vibration & Active Control. Dec2025, Vol. 44 Issue 4, p2130-2153. 24p.
Database: Academic Search Ultimate
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An: 189237495
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  Data: Experimental data-driven multimodal approach for detection and localization of external disturbances in oil and gas pipelines using vibration characteristics.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Low+Frequency+Noise%2C+Vibration+%26+Active+Control%22">Journal of Low Frequency Noise, Vibration & Active Control</searchLink>. Dec2025, Vol. 44 Issue 4, p2130-2153. 24p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=189237495
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1177/14613484251348706
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 2130
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      – TitleFull: Experimental data-driven multimodal approach for detection and localization of external disturbances in oil and gas pipelines using vibration characteristics.
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            NameFull: Muthalif, Asan GA
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            NameFull: Shah, Bhumiben Ankit
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            NameFull: Sadasivuni, Kishor Kumar
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            – D: 01
              M: 12
              Text: Dec2025
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              Y: 2025
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              Value: 44
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              Value: 4
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            – TitleFull: Journal of Low Frequency Noise, Vibration & Active Control
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