Uncertainty quantification for modal parameters from stochastic subspace identification on multi-setup measurements
نویسندگان
چکیده
منابع مشابه
Uncertainty Quantification for Stochastic Subspace Identification of Multi-Setup Measurements
In Operational Modal Analysis, the modal parameters (natural frequencies, damping ratios and mode shapes) obtained from Stochastic Subspace Identification (SSI) of a structure, are afflicted with statistical uncertainty. For evaluating the quality of the obtained results it is essential to know the appropriate confidence intervals of these figures. In this paper we present algorithms that autom...
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When performing vibration tests on civil engineering structures, it is often unpractical and expensive to use arti"cial excitation (shakers, drop weights). Ambient excitation on the contrary is freely available (tra$c, wind), but it causes other challenges. The ambient input remains unknown and the system identi"cation algorithms have to deal with output-only measurements. For instance, realisa...
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Subspace identification algorithms are user friendly, numerical fast and stable and they provide a good consistent estimate of the deterministic part of a system. The weak point is the stochastic part. The uncertainty on this part is discussed below and methods to reduce it is derived.
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Stochastic subspace identification methods are an efficient tool for system identification of mechanical systems in Operational Modal Analysis, where modal parameters (natural frequencies, damping ratios, mode shapes) are estimated from measured ambient vibration data of a structure. System identification is usually done for many successive model orders, as the true system order is unknown. The...
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ژورنال
عنوان ژورنال: Mechanical Systems and Signal Processing
سال: 2013
ISSN: 0888-3270
DOI: 10.1016/j.ymssp.2012.11.011