Environmental variability is still a major challenge in structural health monitoring. Due to the
similarity of changes caused by environmental variations to damage, false positive and false …

Abstract Machine learning brings a new paradigm to the traditional structural modal
parameter identification problem. In this study, we propose a novel machine learning …

A new time‐varying system identification approach is proposed in this paper by using
variational mode decomposition. The newly developed variational mode decomposition …

This paper proposes an improved Empirical Wavelet Transform (EWT) approach for
structural operational modal identification based on measured dynamic responses of …

Practical simulation technology is of great importance in the design and research of the
maglev system. This paper presents a practical vehicle/guideway model based on an in situ …

Offshore wind turbines are complex systems operating in harsh environment. The dynamic
demands in these systems often differ from values used in design, leading to unexpected …

In unidentifiable model updating problems, the posterior probability density function (PDF) of
uncertain model parameters cannot be well approximated by a multivariate Gaussian …

The accuracy of structural damage identification is affected by the uncertainties in the
vibration measurements and the finite element modeling. This paper proposes a novel …

Due to the influence of various uncertain factors, there will inevitably be certain errors
between the prediction of finite-element (FE) model and observed data for a target structure …

Bayesian model updating based on Gaussian Process (GP) models has received attention
in recent years, which incorporates kernel-based GPs to provide enhanced fidelity response …