Abstract
This chapter presents a successful leak diagnosis for a real pipeline. The diagnosis was performed on the water pipeline West 5 located in Guadalajara City, Mexico, which is supervised by Inter-Municipal System of Potable Water and Sewage (SIAPA). Herein, the authors try to highlight those difficulties that arise when facing a real leak problem, especially if the fluid line is not monitored online or records of the flow rate and pressure are not available. By considering that only one leak is present in the system and by using the pipeline configuration information provided by the SIAPA staff, a discrete-time extended Kalman filter, used as a state observer, was designed in order to isolate the leak. The final decision about the leak location was based on the results of four different database analyses in which three showed a similar tendency.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Begovich, O., Pizano, A., & Besançon, G. (2012). On-line implementation of a leak isolation algorithm in a plastic pipeline prototype. Latin American Applied Research, 57(6), 131–140. https://hal.archives-ouvertes.fr/hal-00756134.
Besançon, G. (2007). Nonlinear observers and applications. Heidelberg: Springer.
Besançon, G., Scola, I. R., Guillén, M., Dulhoste, J. F., Santos, R., & Georges, D. (2013). Observer-based detection and location of partial blockages in pipelines. In 2013 Conference on Control and Fault-Tolerant Systems (SysTol) (pp. 694–699). doi:10.1109/SysTol.2013.6693934.
Billman, L., & Isermann, R. (1987). Leak detection methods for pipelines. Automatica, 23, 381–385.
Cataldo, A., Benedetto, E. D., Cannazza, G., Masciullo, A., Giaquinto, N., D’Aucelli, G. M., et al. (2016). Recent advances in the TDR-based leak detection system for pipeline inspection. Measurement. doi:10.1016/j.measurement.2016.09.017. http://www.sciencedirect.com/science/article/pii/S0263224116305206.
Chaudhry, M. H. (2014). Applied hydraulic transients. New York: Springer.
Crowe, C. T., Elger, D. F., & Roberson, J. A. (2000). Engineering fluid mechanics. New Jersey: Wiley.
Delgado-Aguiñaga, J., Besançon, G., & Begovich, O. (2015). Leak isolation based on extended Kalman filter in a plastic pipeline under temperature variations with real data validation. In 23th Mediterranean Conference on Control and Automation (MED), 2015 (pp. 316–321). doi:10.1109/MED.2015.7158769.
Delgado-Aguiñaga, J., Begovich, O., & Besançon, G. (2016a). Exact-differentiation-based leak detection and isolation in a plastic pipeline under temperature variations. Journal of Process Control, 42, 114–124. doi:10.1016/j.jprocont.2016.04.005. http://www.sciencedirect.com/science/article/pii/S0959152416300300.
Delgado-Aguiñaga, J., Besançon, G., Begovich, O., & Carvajal, J. (2016b). Multi-leak diagnosis in pipelines based on extended Kalman filter. Control Engineering Practice, 49, 139–148. doi:10.1016/j.conengprac.2015.10.008. http://www.sciencedirect.com/science/article/pii/S0967066115300356.
Genic, S., Arandjelovic, I., Kolendic, P., Jaric, M., Budimir, N., & Genic, V. (2011). A review of explicit approximations of Colebrook’s Equation. FME Transactions, 39, 67–71.
Golub, G. H., & Ortega, J. M. (1992). Scientific computing and differential equation: An introduction to numerical methods. Cambridge: Academic Press.
González, O., Verde, C., & Torres, L. (2016). Leak estimation method for complex pipelines with branch junctions. Journal of Pressure Vessel Technology, ASME, 139.
Ostapkowicz, P. (2014). Leakage detection from liquid transmission pipelines using improved pressure wave technique. Eksploatacja i Niezawodność Maintenance and Reliability, 16, 9–16.
Rentería, F., Verde, C., & Torres, L. (2016). Locating leaks by using the step response of a pipeline. In V. Puig (Ed.), 3rd Conference on Control and Fault-Tolerant Systems Systol 2016-IEEE. Spain: Barcelona
Roberson, J. A., Cassidy, J. J., & Chaudhry, M. H. (1998). Hydraulic engineering. Wayne Anderson.
Simon, D. (2006). Optimal state estimation. New Jersey: Wiley.
Torres, L., Besançon, G., Georges, D., Navarro, A., & Begovich, O. (2011). Examples of pipeline monitoring with nonlinear observers and real-data validation. In 8th International Multi-Conference on Systems, Signals and Devices.
Verde, C. (2001). Multi-leak detection and isolation in fluid pipelines. Control Engineering Practice, 9, 673–682.
Wylie, E. B., & Streeter, V. L. (1993). Fluid transients in systems. New Jersey: Prentice-Hall.
Zhang, T., Tan, Y., Zhang, X., & Zhao, J. (2015). A novel hybrid technique for leak detection and location in straight pipelines. Journal of Loss Prevention in the Process Industries, 35, 157–168. doi:10.1016/j.jlp.2015.04.012. http://www.sciencedirect.com/science/article/pii/S0950423015001163.
Acknowledgements
We are grateful to all those who participated in this research. We thank Prof. Gildas Besançon always afforded us his assistance and valuable advice. We also thank the editors Dr. Lizeth Torres and Dr. Cristina Verde for considering this research as part of the book dedicated to the monitoring of pipeline networks. Finally, we are grateful to the director of SIAPA, C.E. Aristeo Mejía, and in general to all the staff at SIAPA who trusted us to locate the leak position. This work was supported by CONACYT through project No. 177656.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Delgado-Aguiñaga, J.A., Begovich, O. (2017). Water Leak Diagnosis in Pressurized Pipelines: A Real Case Study. In: Verde, C., Torres, L. (eds) Modeling and Monitoring of Pipelines and Networks. Applied Condition Monitoring, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-55944-5_12
Download citation
DOI: https://doi.org/10.1007/978-3-319-55944-5_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-55943-8
Online ISBN: 978-3-319-55944-5
eBook Packages: EngineeringEngineering (R0)