Identifying parametric variation in second-order system from frequency response measurement
2016 ◽
Vol 24
(5)
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pp. 879-891
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Keyword(s):
Fundamentally, second-order model is the foundation of describing the dynamic characteristics of many mechanical and electrical systems. This paper investigates a parametric identification scheme for single degree-of-freedom second-order model in which the model parameters are subject to normal variation. By utilizing frequency response magnitude and phase angle measurements, we construct a linear-in-the-parameters model and build a related maximum likelihood estimator for both parametric means as well as variances. The validity of the approach is demonstrated through a collection of case analyses, and the results show considerable levels of accuracy in the presence of sufficient data.
2013 ◽
Vol 52
(1-3)
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pp. 219-226
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Keyword(s):
Keyword(s):
2009 ◽
Vol 23
(4)
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pp. 852-854
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Keyword(s):
2013 ◽
Vol 367
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pp. 45-49
2018 ◽
Vol 32
(19)
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pp. 1840085
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Keyword(s):
2017 ◽
Vol 11
(1)
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pp. 65-79
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Keyword(s):
2012 ◽
Vol 6
(1)
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pp. 19-29
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1993 ◽
Vol 32
(2)
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pp. 334-344
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