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There is a lack of discussion explicitly addressing the significance of mode matching in the FTR operation mode.
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The paper is organized as follows: A general procedure of estimation based on subspace identification methods are described systematically in Section 2. Model order selection is discussed in Section 3. A method of mode matching via mode shapes is shown in Section 4. The simulation results are shown in Section 5. Conclusions are drawn in Section 6.
Transmission loss predictions obtained using point collocation are compared with exact analytic mode matching predictions in the absence of mean flow.
Along with many perceived advantages of multi-mass devices, several challenges associated with mode-matching in a system with increased number of degrees-of-freedom (DOF) have to be considered.
Note that the mode matching method proposed in this paper can be simplified via aggregation model since an inter-area oscillation mode involves many generators.
Mode matching results are shown in Table 5.
At the 2013 luncheon, Rodgers was in Team USA mode, matching a star-spangled, red-white-and-blue shirt with a similar bandanna, plus sunglasses.
Better mode matching among the interacting waves in the nonlinear crystal due to the reduced overall cavity length for Q = 4 as compared to Q = 2 can be attributed to the increase in the parametric gain and Airy beam power.
Over the frequency range in which analytic mode matching predictions are available, excellent agreement with point collocation transmission loss predictions is observed for a range of large splitter silencers.
However, most of these applications may operate in split modes, as mode matching is usually conducted open loop.
In this paper, a method of mode matching is proposed for subspace identification methods.
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