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Gas Source State Estimation with Reynolds-Averaged Dispersion Model and Time-Averaged Measurements
Siemens AG, Munich, Germany; Technical University of Munich (TUM), Germany. (Perception for Intelligent Systems)
Siemens AG, Munich, Germany.
Technical University of Munich (TUM), Germany.
Technical University of Munich (TUM), Germany. (Perception for Intelligent Systems)ORCID iD: 0000-0003-0217-9326
2025 (English)In: Conference on Sensor and Measurement Science International (SMSI), 2025, p. 75-76Conference paper, Published paper (Refereed)
Abstract [en]

In this work, the Gas Source State Estimation (GSSE) problem in non-trivial geometries is approached by combining a non-stationary gas dispersion Partial Differential Equation (PDE) with in-situ gas measurements under the assumption of known flow. The GSSE problem is formulated as an optimization problem with PDE constraints and solved efficiently using the adjoint method. The approach is simulatively validated on a 2D problem with laminar flow around a circular obstacle and data from gas dispersion simulations. Thereby, a single Gaussian gas source could be localized accurately for most trials with randomly placed sensor.

Place, publisher, year, edition, pages
2025. p. 75-76
Keywords [en]
gas source state estimation, sensor network, PDE-constraint optimization, Reynolds averaging
National Category
Robotics and automation
Identifiers
URN: urn:nbn:se:oru:diva-126094DOI: 10.5162/SMSI2025/B1.2ISBN: 9783910600065 (print)OAI: oai:DiVA.org:oru-126094DiVA, id: diva2:2026859
Conference
Conference on Sensor and Measurement Science International (SMSI 2025), Nürnberg, Germany, May 6-8, 2025
Available from: 2026-01-11 Created: 2026-01-11 Last updated: 2026-01-12Bibliographically approved

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Lilienthal, Achim

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