Bayesian data driven model for uncertain modal properties identified from operational modal analysis
نویسندگان
چکیده
منابع مشابه
Frequency Domain Techniques for Operational Modal Analysis
Operational Modal Analysis, also known as Output Only Modal Analysis, has in the recent years, been used for determination of modal parameters of civil engineering structures and is now becoming widely used also for mechanical structures. The advantage of the method is that no artificial excitation needs to be applied to the structure, or force signals to be measured. In this paper, the non-par...
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Operational Modal Analysis (OMA) is a technique of extracting modal parameters of a system from output responses only. It is an emerging field in structural dynamics and has been applied to complex structures that are often difficult to analyze using traditional Experimental Modal Analysis (EMA) techniques. Since the input information is unavailable in OMA, the technique makes use of certain as...
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The field of Operational Modal Analysis (OMA) has recently become an emerging research interest. OMA, also known as Response-Only Modal Analysis, extracts the modal parameters by processing only the system response data. In many experimental measurement situations, the system’s output data series is short in length and buried under potentially correlated noise. In such cases, the separation of ...
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In the present contribution, the applicability of frequencydomain Maximum Likelihood (ML) identification techniques in the field of operational modal analysis is investigated. Attention is paid to the derivation of the spectral densities and noise information required for the ML estimator. The frequency-domain ML approach is applied to a real case study and confidence intervals are derived on t...
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ژورنال
عنوان ژورنال: Mechanical Systems and Signal Processing
سال: 2020
ISSN: 0888-3270
DOI: 10.1016/j.ymssp.2019.106511