González, Omar | Universidad Popular Autónoma del Estado de Puebla |
Torres, Lizeth | Universidad Nacional Autónoma de México |
Rodríguez Blanco, Marco Antonio | Universidad Autónoma del Carmen |
Rios, Isai Josue | Universidad Popular Autónoma del Estado de Puebla |
https://doi.org/10.58571/CNCA.AMCA.2024.067
Resumen: This work proposes a general methodology to deal with the problem of leak diagnosis in a multi-branched pipeline. To achieve this, the flow rate and pressure measurements at the ends of the pipeline are assumed to be known, as well as the flow rate leaving each pipeline branch with a known position. The key of the proposed methodology consists of estimating the known position of each branch of the pipeline and generating a residual from the discrepancy between the estimated and the real position, due to the presence of a leak. Due to the sensitivity of the residuals to variations of flow and pressure, the sign of this set of residuals indicates the section in which the leak is located, and, knowing this, it is possible to localize it precisely through a simple mathematical expression using only known values. In particular, we present the equations for the cases of pipelines with two and three branches.
¿Cómo citar?
González, O., Torres, L., Rodríguez Blanco, M.A. & Rios, I. (2024). A Steady State Methodology for Leak Diagnosis in Multibranched Pipelines. Memorias del Congreso Nacional de Control Automático 2024, pp. 393-398. https://doi.org/10.58571/CNCA.AMCA.2024.067
Palabras clave
Fault diagnosis, Residual, Monitoring, diagnostic model, Leak detection and isolation, branched pipeline
Referencias
- Anfinsen, H. and Aamo, O.M. (2022). Leak detection, size estimation and localization in branched pipe flows. Automatica, 140, 110213.
- Chaudry, H.M. (1979). Applied Hydraulic Transients. Van Nostrand Reinhold Company.
González, O., Verde, C., and Torres, L. (2017). Leak estimation method for complex pipelines with Branch junctions. Journal of Pressure Vessel Technology, 139. - Isermann, R. (2006). Fault Diagnosis System. Springer.
- Ko, D., Lee, J., and Kim, S. (2024). Transient-based multiple branch detection in reservoir pipeline valve systems. Journal of Hydraulic Research, 62(1), 1–13.
- Mahgerefteh, H., Oke, A., and Atti, O. (2006). Modelling outflow following rupture in pipeline networks. Chemical Engineering Science, 61, 1811–1818.
- Navarro-Díaz, A., Delgado-Aguiñaga, J.A., Santos-Ruiz, I., and Sánchez-Torres, J.D. (2024). Leak diagnosis in branched pipeline systems based on a robust differentiation scheme. IEEE Access.
- Pan, B., Capponi, C., Meniconi, S., Brunone, B., and Duan, H.F. (2022). Efficient leak detection in single and branched polymeric pipeline systems by transient wave analysis. Mechanical Systems and Signal Processing, 162, 108084.
- Torres, L., Verde, C., and Molina, L. (2020). Leak diagnosis for pipelines with multiple branches based on model similarity. In Journal of Process Control.
- Torres, L., Verde, C., and Molina, L. (2021). Leak diagnosis for pipelines with multiple branches based on model similarity. Journal of Process Control, 99, 41–53.
- Wylie, E.B. and Streeter, V.L. (1978). Fluid Transient. McGraw-Hill.