Fault Pattern Recognition for Pipelines with Viscous Fluid

Resumen: This paper deals with the detection and localization of damage in pipelines. The purpose is to characterize the transient wave propagation in a faulty pipeline with a viscous absorption fluid and the pattern response to an external acoustic source as a function of the fault type and position. The study assumes an infinite-dimensional linear model for the wave propagation in the pipeline and lumped models for the leak and blockage faults. The key to the study is to analyze the wave propagation model through graph theory and by the reflection coefficient to solve these tasks. The system decomposition according to the fault scenarios allows the characterization of the impulse input response for a leak and blockage in the pipeline. For the specific case of a leak and a blockage, the impulse patterns are established and validated by simulation.

¿Cómo citar?

Jesus Peralta & Cristina Verde. Fault Pattern Recognition for Pipelines with Viscous Fluid. Memorias del Congreso Nacional de Control Automático, pp. 279-285, 2021.

Palabras clave

Feature selection for fault location, signal patterns for leak and blockage detection, signal graph theory

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