1999
DOI: 10.1109/59.744537
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Making Prony analysis more accurate using multiple signals

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Cited by 293 publications
(128 citation statements)
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“…Then the time dependent decay function can be modeled as (11) Moreover, using (4) and (7), we obtain (12) Noting that (13) we have (14) We emphasize that (14) is a generalization to modal analysis of the notion of damping for nonstationary signals. The computation of damping ratio from local information in (14) depends on the fast and accurate estimation of the physically meaningful instantaneous magnitude which is given by (5).…”
Section: Damping Ratio Estimatesmentioning
confidence: 99%
See 1 more Smart Citation
“…Then the time dependent decay function can be modeled as (11) Moreover, using (4) and (7), we obtain (12) Noting that (13) we have (14) We emphasize that (14) is a generalization to modal analysis of the notion of damping for nonstationary signals. The computation of damping ratio from local information in (14) depends on the fast and accurate estimation of the physically meaningful instantaneous magnitude which is given by (5).…”
Section: Damping Ratio Estimatesmentioning
confidence: 99%
“…However unfortunately, oscillatory processes may exhibit nonlinear behavior and in many cases linear models are not sufficient to capture time-varying features associated with switching and control actions. Several other complementary techniques based on ringdown analysis to system perturbations and MIMO state-space identification techniques have been successfully applied to analyze wide-area oscillatory dynamics [3], [4], [8], [12], [13]. Fourier-based analysis tools have also been used for off line studies of power system dynamics [14], [15].…”
Section: Introductionmentioning
confidence: 99%
“…Mode estimation methods based on measurement data have been extensively studied. A sample of papers includes [15], [16], [17], [18], [19], [20], [21], [22], and [23]. Measurement-based models usually take much less effort to build than those required for a model-based method.…”
Section: Realitymentioning
confidence: 99%
“…Importantly, along the lines described in [12], one can use an extension of the algorithm in [3] to accommodate multiple output systems.…”
Section: B Modal Parameter Estimation Algorithm 1) Casementioning
confidence: 99%