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:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

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ISSN 2228-9860
eISSN 1906-9642
CODEN: ITJEA8


FEATURE PEER-REVIEWED ARTICLE

Vol.12(11) (2021)

  • Hybrid Leak Localization Using Acoustic Sensors via Intercorrelation Method and MUSIC Algorithm

    Ghassan Alnwaimi (Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, SAUDI ARABIA),
    Hatem Boujemaa (Sup'Com, COSIM Laboratory, University of Carthage, TUNISIA),
    Feras Alfosail (Consulting Services Department, Saudi Aramco, Dhahran 31311, SAUDI ARABIA),
    Nebras Sobahi (Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, SAUDI ARABIA).

    Disciplinary: Electrical and Computer Engineering & System.

    ➤ FullText

    doi: 10.14456/ITJEMAST.2021.216

    Keywords: Hybrid leak localization; Gas pipeline; Acoustic Sensors; MUSIC algorithm; Intercorrelation method; Monte-Carlo simulation; Leak detection.

    Abstract
    In this paper, we propose to combine the intercorrelation method and the Multiple Signal Classification algorithm (MUSIC) to locate a leak on a gas pipeline using acoustic sensors. We compare the Root Mean Square Error (RMSE) of the leak position estimate using hybrid localization based on a combination of MUSIC and intercorrelation method to the MUSIC algorithm and the intercorrelation method using two acoustic sensors and a pipeline of length 100m. At average Signal to Noise Ratio equal to 0 dB, the RMSE of the leak position estimate is equal to 0.88 m for the hybrid algorithm while it is 1.6 m for the MUSIC algorithm and 7.4 m for the intercorrelation method. The intercorrelation method, the hybrid, and the MUSIC algorithms are unbiased as the RMSE converges to zero at high SNR.

    Paper ID: 12A11F

    Cite this article:

    Alnwaimi, G., Boujemaa, H., Alfosail, F., Sobahi, N. (2021). Hybrid Leak Localization Using Acoustic Sensors via Intercorrelation Method and MUSIC Algorithm. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 12(11), 12A11F, 1-10. http://doi.org/10.14456/ITJEMAST.2021.216



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Other issues:
Vol.12(12)(2021)
Vol.12(11)(2021)
Vol.12(10)(2021)
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