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Method for determining modal parameters
2019The present invention relates to a method for determining modal parameters of a system under test. The method comprises the steps of - taking a first set of values of output signals obtained under a first loading condition of the system, - determining for said first loading condition a parametric matrix model for the system, said parametric matrix ...
Guillaume, Patrick +3 more
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Modal Parameter Identification from Ambient Response
AIAA Journal, 1999Dar-Yun Chiang, Ming-Si Cheng
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An organic electrochemical transistor for multi-modal sensing, memory and processing
Nature Electronics, 2023, , Tao Li
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Mechanisms controlling pancreatic islet cell function in insulin secretion
Nature Reviews Molecular Cell Biology, 2021Jonathan Campbell, Christopher B Newgard
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Identification of time varying modal parameters
The Aeronautical Journal, 1990AbstractThe ability to track time varying frequency and damping parameters using on-line versions of seven time domain system identification algorithms; Least Squares, Double Least Squares, Correlation Fit, Instrumental Variables, Instrumental Matrix with Delayed Observations, Extended Least Squares and Maximum Likelihood, is examined.
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Autonomous Modal Parameter Estimation: Application Examples
Autonomous modal parameter estimation is an attractive approach when estimating modal parameters (frequency, damping, mode shape, and modal scaling) as long as the results are physically reasonable. Frequently, significant post processing is required to tune the autonomous estimates.D.L. Brown, R.J. Allemang, A.W. Phillips
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Three-Dimensional Modal Parameters of Tire
Modal test of a radial tire in radial, tangential and transverse directions is presented. The tire is under free suspension condition. Complete set of modal parameters, including modal frequencies, modal damping factors and modal shapes is given. The influences of inflation pressure and rim weight to modal parameters are analyzed and the differences ...Jianfeng Qiao, Yongchang Du, Peng Zhao
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A multi-modal pre-training transformer for universal transfer learning in metal–organic frameworks
Nature Machine Intelligence, 2023Yeonghun Kang, Hyunsoo Park, Berend Smit
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