An improved pipeline leak detection and localization method based on compressed sensing and event-triggered particle filter

DOI10.1016/j.jfranklin.2021.08.012zbMath1472.93064OpenAlexW3196833883MaRDI QIDQ2235416

Yanyan Li

Publication date: 21 October 2021

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2021.08.012

zbMATH Keywords

beetle antennae search particle filterevent-triggered particle filterpipeline leak detection and localization

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Discrete event control/observation systems (93C65) Networked control (93B70)

Cites Work

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• Leak detection methods for pipelines
• State-space estimation with a Bayesian filter in a coupled PDE system for transient gas flows
• Event-triggered intermittent sampling for nonlinear model predictive control
• A reducing iteration orthogonal matching pursuit algorithm for compressive sensing
• Leak Detection, Size Estimation and Localization in Pipe Flows
• Structured Compressed Sensing: From Theory to Applications

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