Pipe crack early warning for burst prevention by permanent acoustic noise level monitoring in smart water networks

References

• Allen, M., A. Prels, M. Lqbal, S. Srirangarajan, H. B. Llm, L. Glrod, and A. J. Whittle. 2011. “Real‐time In‐network Distribution System Monitoring to Improve Operational Efficiency.” Journal‐American Water Works Association 103 (7): 63–75. doi:10.1002/j.1551-8833.2011.tb11495.x.
   Web of Science ®Google Scholar
• An, Y., X. Wang, R. Chu, B. Yue, L. Wu, J. Cui, and Z. Qu. 2020. “Event Classification for Natural Gas Pipeline Safety Monitoring Based on Long Short-term Memory Network and Adam Algorithm.” Structural Health Monitoring 19 (4):1151-1159.
   Web of Science ®Google Scholar
• Brunone, B., S. Meniconi, and C. Capponi. 2018. “Numerical Analysis of the Transient Pressure Damping in a Single Polymeric Pipe with a Leak.” Urban Water Journal 15 (8): 760–768. doi:10.1080/1573062X.2018.1547772.
   Web of Science ®Google Scholar
• Buchberger, S. G., and G. Nadimpalli. 2004. “Leak Estimation in Water Distribution Systems by Statistical Analysis of Flow Readings.” Journal of Water Resources Planning and Management 130 (4): 321–329. doi:10.1061/(ASCE)0733-9496(2004)130:4(321).
   Web of Science ®Google Scholar
• Capponi, C., M. Ferrante, A. C. Zecchin, and J. Gong. 2017. “Leak Detection in a Branched System by Inverse Transient Analysis with the Admittance Matrix Method.” Water Resources Management 31 (13): 4075–4089. doi:10.1007/s11269-017-1730-6.
   Web of Science ®Google Scholar
• Covas, D., and H. Ramos. 2010. “Case Studies of Leak Detection and Location in Water Pipe Systems by Inverse Transient Analysis.” Journal of Water Resources Planning and Management 136 (2): 248–257. doi:10.1061/(ASCE)0733-9496(2010)136:2(248).
   Web of Science ®Google Scholar
• Farah, E., and I. Shahrour. 2017. “Leakage Detection Using Smart Water System: Combination of Water Balance and Automated Minimum Night Flow.” Water Resources Management 31 (15): 4821–4833. doi:10.1007/s11269-017-1780-9.
   Web of Science ®Google Scholar
• Fuchs, H., and R. Riehle. 1991. “Ten Years of Experience with Leak Detection by Acoustic Signal Analysis.” Applied Acoustics 33 (1): 1–19. doi:10.1016/0003-682X(91)90062-J.
   Web of Science ®Google Scholar
• Ghazali, M. F., S. B. M. Beck, J. D. Shucksmith, J. B. Boxall, and W. J. Staszewski. 2012. “Comparative Study of Instantaneous Frequency Based Methods for Leak Detection in Pipeline Networks.” Mechanical Systems and Signal Processing 29: 187–200. doi:10.1016/j.ymssp.2011.10.011.
   Web of Science ®Google Scholar
• Gong, J., G. M. Png, J. W. Arkwright, A. W. Papageorgiou, P. R. Cook, M. F. Lambert, A. R. Simpson, and A. C. Zecchin. 2018b. “In-pipe Fibre Optic Pressure Sensor Array for Hydraulic Transient Measurement with Application to Leak Detection.” Measurement 126: 309–317. doi:10.1016/j.measurement.2018.05.072.
   Web of Science ®Google Scholar
• Gong, J., M. F. Lambert, A. C. Zecchin, A. R. Simpson, N. S. Arbon, and Y.-I. Kim. 2016. “Field Study on Non-invasive and Non-destructive Condition Assessment for Asbestos Cement Pipelines by Time-domain Fluid Transient Analysis.” Structural Health Monitoring 15 (1): 113–124. doi:10.1177/1475921715624505.
   Web of Science ®Google Scholar
• Gong, J., M. F. Lambert, M. L. Stephens, B. S. Cazzolato, and C. Zhang. 2020. “Detection of Emerging through-Wall Cracks for Pipe Break Early Warning in Water Distribution Systems Using Permanent Acoustic Monitoring and Acoustic Wave Analysis.” Water Resources Management 34 (8): 2419–2432. Accessed 31 May 2020. doi:10.1007/s11269-020-02560-1.
   Web of Science ®Google Scholar
• Gong, J., S. T. N. Nguyen, M. L. Stephens, M. F. Lambert, A. Marchi, A. R. Simpson, and A. C. Zecchin 2018a. “Correlation of Post-burst Hydraulic Transient Noise for Pipe Burst/leak Localisation in Water Distributions Systems.” In The 13th International Conference on Pressure Surges. Bordeaux, France: BHR Group.
   Google Scholar
• Grewal, M. S. 2011. “Kalman Filtering.” In International Encyclopedia of Statistical Science, 705–708. Berlin: Springer. http://dx.doi.org/10.1007/978-3-642-04898-2_321
   Google Scholar
• Hunaidi, O., A. Wang, M. Bracken, T. Gambino, and C. Fricke 2004. “Acoustic Methods for Locating Leaks in Municipal Water Pipe Networks.” In International Conference on Water Demand Management, 1–14. Dead Sea Jordan.
   Google Scholar
• Jacobsz, S. W., and S. I. Jahnke. 2020. “Leak Detection on Water Pipelines in Unsaturated Ground by Discrete Fibre Optic Sensing.” Structural Health Monitoring 19 (4): 1219-1236.
   Web of Science ®Google Scholar
• Jung, D., D. Kang, J. Liu, and K. Lansey. 2015. “Improving the Rapidity of Responses to Pipe Burst in Water Distribution Systems: A Comparison of Statistical Process Control Methods.” Journal of Hydroinformatics 17 (2): 307–328. doi:10.2166/hydro.2014.101.
   Web of Science ®Google Scholar
• Jung, D., and K. Lansey. 2014. “Water Distribution System Burst Detection Using a Nonlinear Kalman Filter.” Journal of Water Resources Planning and Management 141 (5): 04014070. doi:10.1061/(ASCE)WR.1943-5452.0000464.
   Web of Science ®Google Scholar
• Khan, A. A., V. Vrabie, Y.-L. Beck, J. I. Mars, and G. D’Urso. 2014. “Monitoring and Early Detection of Internal Erosion: Distributed Sensing and Processing.” Structural Health Monitoring 13 (5): 562–576. doi:10.1177/1475921714532994.
   Web of Science ®Google Scholar
• Loureiro, D., C. Amado, A. Martins, D. Vitorino, A. Mamade, and S. T. Coelho. 2016. “Water Distribution Systems Flow Monitoring and Anomalous Event Detection: A Practical Approach.” Urban Water Journal 13 (5): 242–252. doi:10.1080/1573062X.2014.988733.
   Google Scholar
• Meniconi, S., B. Brunone, M. Ferrante, C. Capponi, C. Carrettini, C. Chiesa, D. Segalini, and E. Lanfranchi. 2015. “Anomaly Pre-localization in Distribution–transmission Mains by Pump Trip: Preliminary Field Tests in the Milan Pipe System.” Journal of Hydroinformatics 17 (3): 377–389. doi:10.2166/hydro.2014.038.
   Web of Science ®Google Scholar
• Meniconi, S., B. Brunone, M. Frisinghelli, E. Mazzetti, M. Larentis, and C. Costisella. 2017. “Safe Transients for Pipe Survey in a Real Transmission Main by Means of a Portable Device: The Case Study of the Trento (I) Supply System.” Procedia Engineering 186: 228–235. doi:10.1016/j.proeng.2017.03.232.
   Google Scholar
• Misiūnas, D. 2008. Failure Monitoring and Asset Condition Assessment in Water Supply Systems. Vilniaus Gedimino technikos universitetas.
   Google Scholar
• Mounce, S., J. Boxall, and J. Machell. 2009. “Development and Verification of an Online Artificial Intelligence System for Detection of Bursts and Other Abnormal Flows.” Journal of Water Resources Planning and Management 136 (3): 309–318. doi:10.1061/(ASCE)WR.1943-5452.0000030.
   Web of Science ®Google Scholar
• Mounce, S. R., R. B. Mounce, and J. B. Boxall. 2011. “Novelty Detection for Time Series Data Analysis in Water Distribution Systems Using Support Vector Machines.” Journal of Hydroinformatics 13 (4): 672–686. doi:10.2166/hydro.2010.144.
   Web of Science ®Google Scholar
• Rathnayaka, S., B. Shannon, C. Zhang, and J. Kodikara. 2017. “Introduction of the Leak-before-break (LBB) Concept for Cast Iron Water Pipes on the Basis of Laboratory Experiments.” Urban Water Journal 14 (8): 820–828. doi:10.1080/1573062X.2016.1274768.
   Web of Science ®Google Scholar
• Rathnayaka, S., B. Shannon, R. Jiang, and J. Kodikara. 2018. “New Laboratory Test Facility Developed to Investigate the Leak-Before-Break Window of Large-Diameter Cast Iron Water Pipes.” Journal of Pipeline Systems Engineering and Practice 9 (3): 04018010. doi:10.1061/(ASCE)PS.1949-1204.0000329.
   Web of Science ®Google Scholar
• Romano, M., Z. Kapelan, and D. A. Savić. 2014. “Automated Detection of Pipe Bursts and Other Events in Water Distribution Systems.” Journal of Water Resources Planning and Management 140 (4): 457–467. doi:10.1061/(ASCE)WR.1943-5452.0000339.
   Web of Science ®Google Scholar
• Sadeghioon, A. M., N. Metje, D. Chapman, and C. Anthony. 2018. “Water Pipeline Failure Detection Using Distributed Relative Pressure and Temperature Measurements and Anomaly Detection Algorithms.” Urban Water Journal 15 (4): 287–295. doi:10.1080/1573062X.2018.1424213.
   Web of Science ®Google Scholar
• Savić, D., L. Vamvakeridou-Lyroudia, and Z. Kapelan. 2014. “Smart Meters, Smart Water, Smart Societies: The iWIDGET Project.” Procedia Engineering 89: 1105–1112. doi:10.1016/j.proeng.2014.11.231.
   Google Scholar
• Stephens, M., A. Marchi, and J. Gong 2018. “Program of Controlled Transient Field Tests in Adelaide CBD Smart Network.” In WDSA/CCWI Joint Conference Proceedings, Kingston, Canada, 1.
   Google Scholar
• Stephens, M., J. Gong, and A. Marchi 2018. “Field Testing of Adelaide CBD Smart Network Acoustic Technologies.” In WDSA/CCWI Joint Conference Proceedings, Kingston, Canada, 1.
   Google Scholar
• Stephens, M., J. Gong, A. Marchi, L. Dix, A. Wilson, and M. Lambert 2018. “Leak Detection in the Adelaide CBD Water Network Using Permanent Acoustic Monitoring..” In Proceedings of the OzWater 18 Conference, Australian Water Association, Brisbane.
   Google Scholar
• Stephens, M., J. Gong, C. Zhang, A. Marchi, L. Dix, and M. Lambert. 2020. “Leak-Before-Break Main Failure Prevention for Water Distribution Pipes Using Acoustic Smart Water Technologies: Case Study in Adelaide.” Journal of Water Resources Planning and Management 146 (10): 05020020. doi:10.1061/(ASCE)WR.1943-5452.0001266.
   Web of Science ®Google Scholar
• Stoianov, I., L. Nachman, A. Whittle, S. Madden, and R. Kling 2006. “Sensor Networks for Monitoring Water Supply and Sewer Systems: Lessons from Boston.” In Proceedings of the 8th Annual Water Distribution Systems Analysis Symposium, Cincinnati, Ohio, USA, 1–17.
   Google Scholar
• Wang, X., M. S. Ghidaoui, and J. Lin. 2019. “Identification of Multiple Leaks in Pipeline III: Experimental Results.” Mechanical Systems and Signal Processing 130: 395–408. doi:10.1016/j.ymssp.2019.05.015.
   Web of Science ®Google Scholar
• Whittle, A. J., L. Girod, A. Preis, M. Allen, H. B. Lim, M. Iqbal, S. Srirangarajan, C. Fu, K. J. Wong, and D. Goldsmith. 2010. “WATERWISE@ SG: A Testbed for Continuous Monitoring of the Water Distribution System in Singapore.” In Water Distribution Systems Analysis 2010 (pp. 1362-1378).
   Google Scholar
• Wu, Y., and S. Liu. 2017. “A Review of Data-driven Approaches for Burst Detection in Water Distribution Systems.” Urban Water Journal 14 (9): 972–983. doi:10.1080/1573062X.2017.1279191.
   Web of Science ®Google Scholar
• Ye, G., and R. A. Fenner. 2010. “Kalman Filtering of Hydraulic Measurements for Burst Detection in Water Distribution Systems.” Journal of Pipeline Systems Engineering and Practice 2 (1): 14–22. doi:10.1061/(ASCE)PS.1949-1204.0000070.
   Web of Science ®Google Scholar
• Zeng, W., J. Gong, A. R. Simpson, B. S. Cazzolato, A. C. Zecchin, and M. F. Lambert. 2020. “Paired-IRF Method for Detecting Leaks in Pipe Networks.” Journal of Water Resources Planning and Management 146 (5): 04020021.
   Web of Science ®Google Scholar
• Zhang, C., A. C. Zecchin, M. F. Lambert, J. Gong, and A. R. Simpson. 2018. “Multi-stage Parameter-constraining Inverse Transient Analysis for Pipeline Condition Assessment.” Journal of Hydroinformatics 20 (2): 2. doi:10.2166/hydro.2018.154.
   Web of Science ®Google Scholar