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The comparison of the identified mode shapes and natural frequencies shows good performance of the proposed method in engineering application.
It is of interest to the modal testing and health monitoring community to quantify how an error in any identified mode shape propagates to the identified flexibility matrix.
Therefore, the automatic selection of the most likely numerical mode shape corresponding to a particular experimentally identified mode shape can be a difficult task.
And the identified mode shape results of Mode I from ambient data with 20-dB signal-to-noise ratio (SNR) and 12-dB SNR are indicated in Table 7.
The virtual hinged boundary of the equivalent cable is first decided by the optimal shifting parameter solved from best fitting the identified mode shape ratios with an unsymmetrical formulation.
A demonstration for a laboratory experiment on a cantilever steel beam shows that the proposed methodology can be used for accurate time synchronization, resulting in a significant improvement of the accuracy of the identified mode shapes.
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In the next section, we use these identified modes for final terrain perception.
In Fig. 2, seven identified modes of this application are presented.
The identified modes in time domain were then compared with those identified in frequency domain and finite element analytical results.
Based on the newly identified modes, a set of drug release models were developed by extending the existing model.
Challenges related to the presence of very closely spaced vibration modes are also shown, in which matching the identified modes to the modeled modes becomes difficult.
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