Non-concurrent leak diagnosis in pipelines using an LPV Kalman filter approach
This paper addresses the non-concurrent leak diagnosis problem in pipelines through a discrete-time LPV Kalman filter, considering the availability of pressure head and flow rate measurements at the ends of the pipeline. This method avoids linearization while preserving the nonlinear dynamics of the...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:dnet:upcommonspor::c858086ff908af8e26900ecdab7b5981 |
| Acceso en línea: | https://hdl.handle.net/2117/460197 https://dx.doi.org/10.1016/j.ifacol.2025.10.066 |
| Access Level: | acceso abierto |
| Palabra clave: | Leak detection Isolation LPV systems Kalman filter Linear matrix inequalities Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
| Sumario: | This paper addresses the non-concurrent leak diagnosis problem in pipelines through a discrete-time LPV Kalman filter, considering the availability of pressure head and flow rate measurements at the ends of the pipeline. This method avoids linearization while preserving the nonlinear dynamics of the system via an LPV-based representation and the use of the nonlinear embedding approach. Simulations involving two and three leaks demonstrate the accuracy of the method in estimating leak positions and magnitudes. |
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