Bayesian Inverse Problems:Fundamentals and Engineering Applications '21
内容
目次
Part I: Theory and Fundamentals. Understanding uncertainty in engineering. Uncertainty quantification and propagation. The Bayesian inverse problem in engineering. Bayesian filtering and prognostics. Surrogate modelling. Part II: Applications. Structural health management. Prognostics of remaining life of batteries. Reliability of power plants. Infrastructure asset management. Wind turbines. Rovers and UAVs. Structural dynamics applications.
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