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These focus on achievable time-dependent spectrum accuracy, resolution, and tracking, as well as on estimated modal parameter accuracy.
The TARMA 4, 5 p=3model is shown to achieve superior spectral and modal parameter accuracy, while avoiding the problem of estimated false modal modes of its TAR(12 p=3counterpart.
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Operational modal analysis is the primary tool for modal parameter identification in civil engineering.
The main modal testing procedures and modal parameter identification methods are reviewed, including both input/output and output-only approaches.
In modal parameter identification, the damped complex exponential response methods extract modal parameters using free decay responses.
Structural modal parameter identification under ambient excitation has strong engineering value and theoretical significance.
Automated modal parameter identification of civil engineering structures has been analyzed in a previous paper.
Unlike, a typical experiment using attached sensors and a multi-channel data acquisition (DAQ) system, optical measurement systems can have high levels of measurement noise that may result in estimated modal parameters that have low accuracy.
Considering the relatively limited system dynamic information that include in ambient data, a small change in model order would lead to a large variation in estimated modal parameters and influence the identification accuracy.
Calculated results have shown that natural frequency obtained by two methods matches well and the proposed method shows better accuracy in the identification of damping ratio, which verifies the effectiveness of proposed method to recognize the modal parameters of transformer winding with high accuracy.
Nevertheless, significant loss of accuracy of the modal parameters related to the second tower modes is observed.
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