Novel Leak Detector Based on DWT an Experimental Study

(1) * Sabir Meftah Mail (Mohamed Boudiaf University, Algeria)
(2) Miloud Bentoumi Mail (Mohamed Boudiaf University, Algeria)
(3) Dirman Hanafi Burhanuddin Mail (Universiti Tun Hussein Onn Malaysia, Malaysia)
(4) Haddi Bakhti Mail (Mohamed Boudiaf University, Algeria)
(5) Chaima Chabira Mail (Mohamed Boudiaf University, Algeria)
*corresponding author

Abstract


We always face water leakage problems in underground distribution water networks (DWNs). Existing leak detectors suffer from false alarms due to poor leak signal quality affected by external noise, often collected by acoustic or vibratory sensors. This paper introduces a novel Discrete Wavelet Transform Detector (DWTD) that leverages precise pressure signals non-influenced by environmental noise. Using a prototype of a 100m PEHD pipeline and a diameter of 40mm, Data from two pressure transmitters were collected using a dSPACE MicroLabBox unit. The main idea is to apply the Discrete Wavelet Transform (DWT) with a DONOHO threshold law to cancel noises due to water turbulence fluctuations, ensuring high-quality signals for accurate leak detection and localization. As benchmarks to assess the quality of denoising signals three parameters were calculated, Signal to Noise Ratio (SNR > 26.6763 dB), Normalized Cross-Correlation (NCC≈1), and Mean Square Error (0.20573 < MSE < 48.4761). The denoised temporal signals are obtained from the Inverse Discrete Wavelet Transform (IDWT). A Cross-correlation is employed to these signals to determine the leak’s location. The experimental validation involves positioning the first and second transmitters at specific distances on both sides of the leak position. This allows for comparison between the actual leak position in advance known and calculated positions at various points and leak sizes. With only a few exceptions where the maximum error rate reached 5 meters from the actual leak position, the detector's effectiveness was proven across tests involving four different leak sizes.

Keywords


Leak; Pressure Signal; DWT; DONOHO Threshold; Detector

   

DOI

https://doi.org/10.31763/ijrcs.v4i3.1458
      

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[1] Z. Zarei, E. Karami, M. Keshavarz, “Co-production of knowledge and adaptation to water scarcity in developing countries,†Journal of environmental management, vol. 262, p. 110283, 2020, https://doi.org/10.1016/j.jenvman.2020.110283.

[2] Y. Yu, A. Safari, X. Niu, B. Drinkwater, and K. V. Horoshenkov, “Acoustic and ultrasonic techniques for defect detection and condition monitoring in water and sewerage pipes: A review,†Applied Acoustics, vol. 183, p. 108282, 2021, https://doi.org/10.1016/j.apacoust.2021.108282.

[3] W. Wang, H. Sun, J. Guo, L. Lao, S. Wu, and J. Zhang, “Experimental study on water pipeline leak using In-Pipe acoustic signal analysis and artificial neural network prediction,†Measurement, vol. 186, p. 110094, 2021, https://doi.org/10.1016/j.measurement.2021.110094.

[4] G. C. Giaconia et al., “Vibration-based water leakage detection system for public open data platforms,†The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLVIII-4/W10-2024, pp. 71-76, 2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W10-2024-71-2024.

[5] Y. Gao, M. J. Brennan, P. F. Joseph, J. M. Muggleton, and O. Hunaidi, “On the selection of acoustic/vibration sensors for leak detection in plastic water pipes,†Journal of Sound and Vibration, vol. 283, no. 3-5, pp. 927-941, 2005, https://doi.org/10.1016/j.jsv.2004.05.004.

[6] J. Guo et al., “Application of recursive VMD based on information entropy optimization in the water supply pipeline leak location,†Water Supply, vol. 23, no. 3, pp. 1375-1389, 2023, https://doi.org/10.2166/ws.2023.071.

[7] F. Karray, A. Garcia-Ortiz, M. W. Jmal, A. M. Obeid, and M. Abid, “EARNPIPE: A Testbed for Smart Water Pipeline Monitoring Using Wireless Sensor Network,†Procedia Computer Science, vol. 96, pp. 285-294, 2016, https://doi.org/10.1016/j.procs.2016.08.141.

[8] G. R. Anjana, K. R. S. Kumar, M. S. M. Kumar, and B. Amrutur, “A Particle Filter Based Leak Detection Technique for Water Distribution Systems,†Procedia Engineering, vol. 119, pp. 28-34, 2015, https://doi.org/10.1016/j.proeng.2015.08.849.

[9] A. E. O. Hassan, T. A. A. Mohammed, A. Demi̇Rkol, “Fault detection in a three-tank hydraulic system using unknown input observer and extended Kalman filter,†Journal of Engineering Research, vol. 9, no. 4A, pp. 161-173, 2021, https://doi.org/10.36909/jer.8985.

[10] Y Y. He, S. Li and Y. Zheng, “Distributed state estimation for leak detection in water supply networks,†IEEE/CAA Journal of Automatica Sinica, pp. 1-9, 2017, https://doi.org/10.1109/JAS.2017.7510367.

[11] N. M. Khalilabad, M. Mollazadeh, A. Akbarpour, and S. Khorashadizadeh, “Leak detection in water distribution system using non-linear Kalman filter,†International Journal of Optimization in Civil Engineering, vol. 8, no. 2, pp. 169-180, 2018, http://ijoce.iust.ac.ir/article-1-336-en.html.

[12] S. Razvarz, R. Jafari, and A. Gegov, “Flow Modelling and Control in Pipeline Systems,†Studies in Systems, Decision and Control, vol. 321, 2021, https://doi.org/10.1007/978-3-030-59246-2.

[13] J. Bohorquez, M. F. Lambert, B. Alexander, A. R. Simpson, and D. Abbott, “Stochastic Resonance Enhancement for Leak Detection in Pipelines Using Fluid Transients and Convolutional Neural Networks,†Journal of Water Resources Planning and Management, vol. 148, no. 3, p. 04022001, 2022, https://doi.org/10.1061/(ASCE)WR.1943-5452.0001504.

[14] H. Anfinsen and O. M. Aamo, “Leak detection, size estimation and localization in branched pipe flows,†Automatica, vol. 140, p. 110213, 2022, https://doi.org/10.1016/j.automatica.2022.110213.

[15] M. Waqar, M. Louati, and M. S. Ghidaoui, “Time-reversal technique for pipeline defect detection,†Water Research, vol. 243, p. 120375, 2023, https://doi.org/10.1016/j.watres.2023.120375.

[16] I. A. Tijani, S. Abdelmageed, A. Fares, K. H. Fan, Z. Y. Hu, and T. Zayed, “Improving the leak detection efficiency in water distribution networks using noise loggers,†Science of The Total Environment, vol. 821, p. 153530, 2022, https://doi.org/10.1016/j.scitotenv.2022.153530.

[17] J. S. Tina, B. B. Kateule, and G. W. Luwemba, “Water Leakage Detection System Using Arduino,†European Journal of Information Technologies and Computer Science, vol. 2, no. 1, pp. 1-4, 2022, https://doi.org/10.24018/compute.2022.2.1.43.

[18] T. Yu, X. Chen, W. Yan, Z. Xu, and M. Ye, “Leak detection in water distribution systems by classifying vibration signals,†Mechanical Systems and Signal Processing, vol. 185, p. 109810, 2023, https://doi.org/10.1016/j.ymssp.2022.109810.

[19] K. Sitaropoulos, S. Salamone, and L. Sela, “Frequency-based leak signature investigation using acoustic sensors in urban water distribution networks,†Advanced Engineering Informatics, vol. 55, p. 101905, 2023, https://doi.org/10.1016/j.aei.2023.101905.

[20] M. Bentoumi, A. Bentoumi, and H. Bakhti, “Welsh DSP Estimate and EMD Applied to Leak Detection in a Water Distribution Pipeline,†Instrumentation Mesure Métrologie, vol. 19, no. 1, pp. 35-41, 2020, https://doi.org/10.18280/i2m.190105.

[21] H. Bakhti, M. Bentoumi, A. Harrag, and K. El-Hadi, “Experimental Validation of Hybrid EMD-Correlation Acoustic Digital Leaks Detector in Water Distribution Network System,†Instrumentation Mesure Métrologie, vol. 18, no. 6, pp. 535-545, 2019, https://doi.org/10.18280/i2m.180604.

[22] M. H. H. Rosman et al., “Real-Time Underground Plastic Pipeline Water Leakage Detection and Monitoring System,†International Journal of Robotics and Control Systems, vol. 2, no. 2, pp. 424-434, 2022, https://doi.org/10.31763/ijrcs.v2i2.582.

[23] F. Idachaba and O. Tomomewo, “Surface pipeline leak detection using realtime sensor data analysis,†Journal of Pipeline Science and Engineering, vol. 3, no. 2, p. 100108, 2023, https://doi.org/10.1016/j.jpse.2022.100108.

[24] M. Aghashahi, L. Sela, and M. K. Banks, “Benchmarking dataset for leak detection and localization in water distribution systems,†Data in Brief, vol. 48, p. 109148, 2023, https://doi.org/10.1016/j.dib.2023.109148.

[25] D. Yoon, J. Park, and S. Shin, “Improvement of Cross-Correlation Technique for Leak Detection of A Buried Pipe in A Tonal Noisy Environment,†Nuclear Engineering and Technology, vol. 44, no. 8, pp. 977-984, 2012, https://doi.org/10.5516/NET.09.2011.067.

[26] R. Ionel, S. Ionel, P. Bauer and F. Quint, “Water leakage monitoring education: Cross correlation study via spectral whitening,†IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, pp. 2465-2471, 2014, https://doi.org/10.1109/IECON.2014.7048851.

[27] M. Kothandaraman, Z. Law, E. M. A. Gnanamuthu and C. H. Pua, “An Adaptive ICA-Based Cross-Correlation Techniques for Water Pipeline Leakage Localization Utilizing Acousto-Optic Sensors,†IEEE Sensors Journal, vol. 20, no. 17, pp. 10021-10031, 2020, https://doi.org/10.1109/JSEN.2020.2991639.

[28] S. B. Beck, M. D. Curren, N. D. Sims, and R. Stanway, “Pipeline Network Features and Leak Detection by Cross-Correlation Analysis of Reflected Waves,†Journal of Hydraulic Engineering, vol. 131, no. 8, pp. 715-723, 2005, https://doi.org/10.1061/(ASCE)0733-9429(2005)131:8(715).

[29] Y. Gao, M. J. Brennan, and P. F. Joseph, “On the effects of reflections on time delay estimation for leak detection in buried plastic water pipes,†Journal of Sound and Vibration, vol. 325, no. 3, pp. 649-663, 2009, https://doi.org/10.1016/j.jsv.2009.03.037.

[30] M. F. Ghazali, S. B. M. Beck, J. D. Shucksmith, J. B. Boxall, and W. J. Staszewski, “Comparative study of instantaneous frequency based methods for leak detection in pipeline networks,†Mechanical Systems and Signal Processing, vol. 29, pp. 187-200, 2012, https://doi.org/10.1016/j.ymssp.2011.10.011.

[31] F. C. L. Almeida, M. J. Brennan, P. F. Joseph, Y. Gao, and A. T. Paschoalini, “The effects of resonances on time delay estimation for water leak detection in plastic pipes,†Journal of Sound and Vibration, vol. 420, pp. 315-329, 2018, https://doi.org/10.1016/j.jsv.2017.06.025.

[32] M. J. Brennan, Y. Gao, P. C. Ayala, F. C. L. Almeida, P. F. Joseph, and A. T. Paschoalini, “Amplitude distortion of measured leak noise signals caused by instrumentation: Effects on leak detection in water pipes using the cross-correlation method,†Journal of Sound and Vibration, vol. 461, p. 114905, 2019, https://doi.org/10.1016/j.jsv.2019.114905.

[33] Y. Gao, M. J. Brennan, Y. Liu, F. C. L. Almeida, and P. F. Joseph, “Improving the shape of the cross-correlation function for leak detection in a plastic water distribution pipe using acoustic signals,†Applied Acoustics, vol. 127, pp. 24-33, 2017, https://doi.org/10.1016/j.apacoust.2017.05.033.

[34] H. Liang, Y. Gao, H. Li, S. Huang, M. Chen, and B. Wang, “Pipeline Leakage Detection Based on Secondary Phase Transform Cross-Correlation,†Sensors, vol. 23, no. 3, p. 1572, 2023, https://doi.org/10.3390/s23031572.

[35] S. B. Sharkova and V. A. Faerman, “Wavelet transform-based cross-correlation in the time-delay estimation applications,†Journal of Physics: Conference Series, vol. 2142, no. 1, p. 012019, 2021, https://doi.org/10.1088/1742-6596/2142/1/012019.

[36] M. J. Brennan, P. F. Joseph, J. M. Muggleton, and Y. Gao, M, “Some recent research results on the use of acoustic methods to detect water leaks in buried plastic water pipes,†Institute of Sound and Vibration Research, University of Southampton, pp. 1-7, 2005, https://www.southampton.ac.uk/assets/imported/transforms/content-block.

[37] S. El-Zahab, T. Zayed, “Leak detection in water distribution networks: an introductory overview,†Smart Water, vol. 4, no. 1, p. 5, https://doi.org/10.1186/s40713-019-0017-x.

[38] Y. Wu and S. Liu, “A review of data-driven approaches for burst detection in water distribution systems,†Urban Water Journal, vol. 14, no. 9, pp. 972-983, 2017, https://doi.org/10.1080/1573062X.2017.1279191.

[39] A. Blázquez-García, A. Conde, U. Mori, and J. A. Lozano, “Water leak detection using self-supervised time series classification,†Information Sciences, vol. 574, pp. 528-541, 2021, https://doi.org/10.1016/j.ins.2021.06.015.

[40] M. Romano, Z. Kapelan, and D. A. Savić, “Real-Time Leak Detection in Water Distribution Systems,†Water Distribution Systems Analysis 2010, pp. 1074-1082, 2011, https://doi.org/10.1061/41203(425)97.

[41] N. A. Mohd Yussof and H. W. Ho, “Review of Water Leak Detection Methods in Smart Building Applications,†Buildings, vol. 12, no. 10, p. 1535, 2022, https://doi.org/10.3390/buildings12101535.

[42] O. Scussel, M. J. Brennan, F. C. L. Almeida, J. M. Muggleton, E. Rustighi, and P. F. Joseph, “Estimating the spectrum of leak noise in buried plastic water distribution pipes using acoustic or vibration measurements remote from the leak,†Mechanical Systems and Signal Processing, vol. 147, p. 107059, 2021, https://doi.org/10.1016/j.ymssp.2020.107059.

[43] M. D. Kafle, S. Fong, and S. Narasimhan, “Active acoustic leak detection and localization in a plastic pipe using time delay estimation,†Applied Acoustics, vol. 187, p. 108482, 2022, https://doi.org/10.1016/j.apacoust.2021.108482.

[44] P. Zhang et al., “Ground vibration analysis of leak signals from buried liquid-filled pipes: An experimental investigation,†Applied Acoustics, vol. 200, p. 109054, 2022, https://doi.org/10.1016/j.apacoust.2022.109054.

[45] O. Scussel et al., “Analysis of phase data from ground vibration measurements above a leaking plastic water pipe,†Journal of Sound and Vibration, vol. 564, p. 117873, 2023, https://doi.org/10.1016/j.jsv.2023.117873.

[46] W. Wang and Y. Gao, “Pipeline leak detection method based on acoustic-pressure information fusion,†Measurement, vol. 212, p. 112691, 2023, https://doi.org/10.1016/j.measurement.2023.112691.

[47] J. Jiao, J. Zhang, Y. Ren, G. Li, B. Wu, and C. He, “Sparse representation of acoustic emission signals and its application in pipeline leak location,†Measurement, vol. 216, p. 112899, 2023, https://doi.org/10.1016/j.measurement.2023.112899.

[48] D. A. Otchere, A. H. Latiff, and B. N. Tackie-Otoo, “Distributed acoustic sensing in subsurface applications – Review and potential integration with artificial intelligence for an intelligent CO2 storage monitoring system,†Geoenergy Science and Engineering, vol. 237, p. 212818, 2024, https://doi.org/10.1016/j.geoen.2024.212818.

[49] L. Yao, Y. Zhang, T. He, and H. Luo, “Natural gas pipeline leak detection based on acoustic signal analysis and feature reconstruction,†Applied Energy, vol. 352, p. 121975, 2023, https://doi.org/10.1016/j.apenergy.2023.121975.

[50] L. Bykerk and J. Valls Miro, “Vibro-Acoustic Distributed Sensing for Large-Scale Data-Driven Leak Detection on Urban Distribution Mains,†Sensors, vol. 22, no. 18, p. 6897, 2022, https://doi.org/10.3390/s22186897.

[51] Z. Ahmad, T. Nguyen, A. Rai, and J. Kim, “Industrial fluid pipeline leak detection and localization based on a multiscale Mann-Whitney test and acoustic emission event tracking,†Mechanical Systems and Signal Processing, vol. 189, p. 110067, 2023, https://doi.org/10.1016/j.ymssp.2022.110067.

[52] H. Fan, S. Tariq, and T. Zayed, “Acoustic leak detection approaches for water pipelines,†Automation in Construction, vol. 138, p. 104226, 2022, https://doi.org/10.1016/j.autcon.2022.104226.

[53] Y. Wu et al., “Hybrid method for enhancing acoustic leak detection in water distribution systems: Integration of handcrafted features and deep learning approaches,†Process Safety and Environmental Protection, vol. 177, pp. 1366-1376, 2023, https://doi.org/10.1016/j.psep.2023.08.011.

[54] K. Wang, Y. Hu, M. Qin, G. Liu, Y. Li, and G. Wang, “A leakage particle–wall impingement based vibro-acoustic characterization of the leaked sand–gas pipe flow,†Particuology, vol. 55, pp. 84-93, 2021, https://doi.org/10.1016/j.partic.2020.07.005.

[55] M. Boujelben, Z. Benmessaoud, M. Abid, and M. Elleuchi, “An efficient system for water leak detection and localization based on IoT and lightweight deep learning,†Internet of Things, vol. 24, p. 100995, 2023, https://doi.org/10.1016/j.iot.2023.100995.

[56] R. Vanijjirattikhan et al., “AI-based acoustic leak detection in water distribution systems,†Results in Engineering, vol. 15, p. 100557, 2022, https://doi.org/10.1016/j.rineng.2022.100557.

[57] R. Müller et al., “Acoustic Leak Detection in Water Networks,†Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2, pp. 306-313, 2021, https://doi.org/10.5220/0010295403060313.

[58] A. Lay-Ekuakille, G. Vendramin, A. Trotta, and P. Vanderbemden, “STFT-based spectral analysis of urban waterworks leakage detection,†International Measurement Confederation, pp. 2172-2176, 2009, https://www.imeko.org/publications/wc-2009/IMEKO-WC-2009-TC19-147.pdf.

[59] A. Lay-Ekuakille, A. Trotta and G. Vendramin, “FFT- based spectral response for smaller pipeline leak detection,†2009 IEEE Instrumentation and Measurement Technology Conference, pp. 328-331, 2009, https://doi.org/10.1109/IMTC.2009.5168469.

[60] A. Lay-Ekuakille, A. Trotta, G. Vendramin and P. Vanderbemdem, “FFT- based algorithm improvements for detecting leakage in pipelines,†2009 6th International Multi-Conference on Systems, Signals and Devices, pp. 1-4, 2009, https://doi.org/10.1109/SSD.2009.4956691.

[61] A. Lay-Ekuakille, G. Vendramin and A. Trotta, “Robust Spectral Leak Detection of Complex Pipelines Using Filter Diagonalization Method,†IEEE Sensors Journal, vol. 9, no. 11, pp. 1605-1614, 2009, https://doi.org/10.1109/JSEN.2009.2027410.

[62] P. Karthikeyan, M. Murugappan, and S. Yaacob, “ECG Signal Denoising Using Wavelet Thresholding Techniques in Human Stress Assessment,†International Journal of Electrical Engineering and Informatics, vol. 4, no. 2, pp. 306-319, 2012, https://doi.org/10.15676/ijeei.2012.4.2.9.

[63] C. K. Chui, “An Introduction to Wavelets,†Academic Press, vol. 60, no. 202, p. 854, 1993, https://doi.org/10.2307/2153134.

[64] R. Aggarwal, J. Karan Singh, V. Kumar Gupta, S. Rathore, M. Tiwari, and A. Khare, “Noise Reduction of Speech Signal using Wavelet Transform with Modified Universal Threshold,†International Journal of Computer Applications, vol. 20, no. 5, pp. 14-19, 2011, https://doi.org/10.5120/2431-3269.

[65] S. Lahmiri, “Comparative study of ECG signal denoising by wavelet thresholding in empirical and variational mode decomposition domains,†Healthcare Technology Letters, vol. 1, no. 3, pp. 104-109, 2014, https://doi.org/10.1049/htl.2014.0073.

[66] Ç. P. Dautov and M. S. Özerdem, “Wavelet transform and signal denoising using Wavelet method,†2018 26th Signal Processing and Communications Applications Conference (SIU), pp. 1-4, 2018, https://doi.org/10.1109/SIU.2018.8404418.

[67] C. Polat and M. S. Özerdem, “Introduction to Wavelets and their applications in signal denoising,†Bitlis Eren University Journal of Science and Technology, vol. 8, no. 1, pp. 1-10, 2018, https://doi.org/10.17678/beuscitech.349020.

[68] J. Li, S. Chen, Y. Zhang, S. Jin and L. Wang, “Cross-Correlation Method for Online Pipeline Leakage Monitoring System,†2009 2nd International Congress on Image and Signal Processing, pp. 1-4, 2009, https://doi.org/10.1109/CISP.2009.5302839.

[69] P. Ostapkowicz, “Leakage detection from liquid transmission pipelines using improved pressure wave technique,†Eksploatacja i Niezawodność, vol. 16, no. 1, pp. 9-16, 2014, http://www.ein.org.pl/sites/default/files/2014-01-02.pdf.


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