Offshore wind energy is playing an increasingly vital role in the clean energy transition
around the world, and improved reliability of wind turbine structures is necessary for the long …

This paper presents the variation of identified modal parameters of an offshore wind turbine
(OWT) over one year of continuous monitoring. The considered OWT is a Haliade 150–6 …

Wind and wave loads are critical to monopile-supported offshore wind turbines (OWTs) in
determining whether OWTs are in safe conditions to generate electricity. However, these …

Recursive Bayesian filters have been widely deployed in structural system identification
where output-only filters are of higher practicality. Unfortunately, the estimation obtained by …

Accurate estimation of offshore wind turbine (OWT) modal parameters has a prominent effect
on the design loads, lifetime prediction, and dynamic response of the system. Modal …

Due to the inherent uncertainty and complexity of civil infrastructure, it is challenging to
simulate their structural dynamic responses accurately and efficiently. Existing model …

Digital twin (DT) technology provides unlimited possibilities for remote intelligent operation
and maintenance of wind turbine blade (WTB) in operation. However, the urgent demand for …

In this paper, we propose an active learning aided Bayesian nonparametric general
regression (ALBNGR) network for structural model updating using modal data. The …

The complexity of the structure and operating process of the large-scale petrochemical
equipment makes it difficult to realize effective health management. In this article, a natural …

This paper proposes a hierarchical Bayesian model updating approach to quantify variability
of aerodynamic stiffness and damping of an offshore wind turbine (OWT) under different …