A statistical approach to estimate state variables in flow-accelerated corrosion problems

DOI10.1080/17415977.2017.1372434zbMath1409.60110OpenAlexW2751313698MaRDI QIDQ3122014

Marcelo Camargo Severo de MacÊdo, Wellington Betencurte da Silva, Bruno Furtado de Moura, Márcio Ferreira Martins

Publication date: 20 March 2019

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415977.2017.1372434

zbMATH Keywords

ASIR filtercorrosion productsdouble resistance modelflow-accelerated corrosionSIR filter

Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Monte Carlo methods (65C05) Inverse problems in thermodynamics and heat transfer (80A23)

Cites Work

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• A note on auxiliary particle filters
• Statistical and computational inverse problems.
• Sequential Monte Carlo Methods in Practice
• Not all (possibly) “random” sequences are created equal
• Sequential Monte Carlo Methods for Dynamic Systems
• Filtering via Simulation: Auxiliary Particle Filters