Structural health monitoring (SHM) has been recognized as a useful tool for safety
management and risk reduction of offshore wind farms. In complex offshore environment …

Damage localization based on ambient vibration data in combination with finite element
models can be challenging, in particular due to the large number of parameters in the model …

The identified modal parameters in Operational Modal Analysis (OMA) are always subject to
statistical uncertainties from many sources and the uncertainty is also important to assess …

Vibration measurements for structural health monitoring (SHM) by operational modal
analysis (OMA) are classically obtained from sensors that are embedded in or physically …

The applications of wind turbines are consistently increasing across the globe. Competent
and sustainable wind energy harnessing inherently requires the implementation of optimal …

In this paper, we provide a comprehensive definition and classification of various sources of
uncertainty within the fields of structural dynamics, system identification, and structural …

The interpretation of stabilization diagrams is a classical task in operational modal analysis,
and has the goal to obtain the set of physical modal parameters from estimates at the …

This paper presents a novel Bayesian framework for time-domain operational modal
analysis (BTOMA) inspired by machine learning time series prediction. The framework …

Modal parameter estimation from input/output data is a fundamental task in engineering. The
poly-reference least-squares complex frequency-domain (pLSCF) algorithm is a fast and …

Featured Application Structural health monitoring. Abstract An automated operational modal
analysis (AOMA) method that considers the uncertainty in modal parameters is presented …