Bayesian Inverse Problems

Bayesian Inverse Problems

Fundamentals and Engineering Applications

Chiachio-Ruano, Manuel; Chiachio-Ruano, Juan; Sankararaman, Shankar

Taylor & Francis Ltd

11/2021

232

Dura

Inglês

9781138035850

15 a 20 dias

660

Descrição não disponível.
Part 1 Fundamentals 1. Introduction to Bayesian Inverse Problems 2. Solving Inverse Problems by Approximate Bayesian Computation 3. Fundamentals of Sequential System Monitoring and Prognostics Methods 4. Parameter Identification Based on Conditional Expectation Part 2 Engineering Applications 5. Sparse Bayesian Learning and its Application in Bayesian System Identification 6. Ultrasonic Guided-waves Based Bayesian Damage Localisation and Optimal Sensor Configuration 7. Fast Bayesian Approach for Stochastic Model Updating using Modal Information from Multiple Setups 8. A Worked-out Example of Surrogate-based Bayesian Parameter and Field Identification Methods
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Reliability Based Design Optimization;Reliability engineering;Posterior PDF;probabilistic methods;Conditional Expectation;Bayesian inverse problem;Kalman Filtering;uncertainty quantification;Inverse Problems;model parameter estimation;Local Mode Shape;reliability based design optimization (RPDO);SBL;prognostics and health management (PHM);SS;ABC Algorithm;PSD Matrix;Map Estimate;Approximate Posterior;PZT Sensor;SHM System;ABC;ABC Method;Mode Shape;Calibration Stage;State Posterior Distribution;UKF;Conditional PDFs;MCMC Method;Stiffness Loss;Data Assimilation Step;Forward Problem