Operational modal analysis (OMA) enables the identification of modal characteristics under
operational loads and conditions. Traditional frequency‐domain methods cannot directly …

Modal identification of large-scale engineering structures may require multiple
measurements obtained from different locations, due to the limitations in the instrumentation …

In this study, an FRF based Bayesian approach is presented for modal identification of civil
structures with known seismic input. The proposed method utilizes the statistical properties …

The power spectral density function is a widely used tool to determine the frequency
components and amplitudes of environmental processes, such as earthquakes or wind …

The present paper demonstrates the feasibility of detecting and quantifying crack-type
damage features in rotating wind turbine blades by Operational Modal Analysis (OMA) …

Accurate estimation of modal parameters is crucial for various aspects of tall buildings,
including structural design, vibration control, and state assessment. This paper first presents …

In the conventional frequency domain modal identification procedures, modal parameters
are attempted to be identified using power spectral density matrix decomposition. As it is …

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

Operational modal analysis (OMA) identifies the modal properties, eg, natural frequencies,
damping ratios and mode shapes, of a structure using 'output-only'ambient vibration data …

This paper focuses on the use of vibration measurements for the purpose of cost-effective
performance evaluation for the safety management and maintenance of Japan's social …