Data-driven stochastic modeling and identification

The motivation for this study is to model guided wave propagation under uncertainty in order to develop a robust SHM system and impart intelligence and awareness in smart structures. In order to do so, we have harnessed stochastic time series models, advanced statistics, stochastic signals and systems theory and more recently, machine learning or statistical learning tools such as gaussian process regression models.