Inverse probabilistic modelling of the sources of uncertainty: a non-parametric simulated-likelihood method with application to an industrial turbine vibration assessment

DOI10.1080/17415970902916987zbMath1202.74207OpenAlexW2135640109MaRDI QIDQ3645188

Simon Cambier, Étienne De Rocquigny

Publication date: 16 November 2009

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

Full work available at URL: https://doi.org/10.1080/17415970902916987

zbMATH Keywords

identificationdata assimilationlocalization of vibration energy

Mathematics Subject Classification ID

Random vibrations in dynamical problems in solid mechanics (74H50) Stochastic and other probabilistic methods applied to problems in solid mechanics (74S60)

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Stochastic inverse problem with noisy simulator. Application to aeronautical model ⋮ Identifying intrinsic variability in multivariate systems through linearized inverse methods

Cites Work

• Random matrix theory for modeling uncertainties in computational mechanics
• Sensitivity Analysis in Practice
• Asymptotic Properties of Non-Linear Least Squares Estimators
• Asymptotic Properties of Maximum Likelihood Estimators for the Independent Not Identically Distributed Case
• Unnamed Item

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