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Hybrid Leak Localization Using Acoustic Sensors via Intercorrelation Method and MUSIC Algorithm |
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| รหัสดีโอไอ | |
| Creator | Ghassan Alnwaimi, Hatem Boujemaa, Feras Alfosail, Nebras Sobahi |
| Title | Hybrid Leak Localization Using Acoustic Sensors via Intercorrelation Method and MUSIC Algorithm |
| Contributor | - |
| Publisher | TuEngr Group |
| Publication Year | 2564 |
| Journal Title | International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies |
| Journal Vol. | 12 |
| Journal No. | 11 |
| Page no. | 12A11F: 1-10 |
| Keyword | Hybrid leak localization, Gas pipeline, Acoustic Sensors, MUSIC algorithm, Intercorrelation method, Monte-Carlo simulation, Leak detection. |
| URL Website | http://TuEngr.com/Vol12-11.html |
| Website title | ITJEMAST V12(11) 2021 @ TuEngr.com |
| ISSN | 2228-9860 |
| 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. |
