Authors : Rakotoarimanga Setra; Rastefano Elisée; Ramasombohitra Nivonjy Nomen'Ahy

Volume/Issue : Volume 10 - 2025, Issue 10 - October

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Google Scholar : https://tinyurl.com/mr4yy4ze

Scribd : https://tinyurl.com/5cczkvvs

DOI : https://doi.org/10.38124/ijisrt/25oct1047

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Abstract : This paper introduces an improved Time Difference of Arrival (TDOA) method for pipeline leak localization using acoustic signals. Unlike the classical TDOA, which assumes uniform sensor reliability, the proposed method incorporates energy-based weights derived from acoustic signal strength. The resulting weighted cost function enhances robustness against noisy or poorly positioned sensors. Monte Carlo simulations in both 2D and 3D settings show that the weighted TDOA reduces the root-mean-square error (RMSE) by more than 50% compared to the classical approach. This demonstrates its effectiveness in accurately locating leaks under realistic noisy conditions.

Keywords : Leak, Accoustic Emission, Pipeline, Sensor Networks, Fast Fourier Transform, Sound, Time Difference of Arrival.

References :

1. Han, M. et al., “Pipeline Leak Detection Using Acoustic Emission and Sensor Networks,” Sensors, 2020.
2. Zhao, Y. et al., “Detection of Pipeline Leaks Using Fractal Analysis of Acoustic Signals,” Journal of Loss Prevention, 2021.
3. Li, X. et al., “A Method for Pipeline Leak Detection Based on Acoustic Imaging and Deep Learning,” Applied Acoustics, 2022.
4. Rabiner, L., Digital Processing of Speech Signals, Prentice Hall, 1978.solar cells. Optics for Solar Energy 2013. 2013.
5. Weiping Cheng, Yongxin, “Frequency Characteristic Analysis of Acoustic Emission Signals of Pipeline Leakage”, mdpi, 2022
6. Oscar Scussel, ORCID, Michael J. Brennan, Fabrício Cézar L. de Almeida, Mauricio K. Iwanaga, Jennifer M. Muggleton, Phillip F. Joseph, Yan Gao, “Key Factors That Influence the Frequency Range of Measured Leak Noise in Buried Plastic Water Pipes: Theory and Experiment”, mdpi, 2023.