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Structural Health Monitoring Using Smart Sensors - ideals ...

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Correlation function (g 2 )<br />

8 x10-3 Imote2<br />

Matlab<br />

4<br />

0<br />

-4<br />

Figure 7.20. Correlation function estimates.<br />

0 1 2<br />

Time (sec)<br />

about -1,500. Note that the full range of a 12-bit signed integer is from -2,048 to 2,047.<br />

The integer data is then injected to the group of Imote2s using the reliable communication<br />

protocol for 16-bit integer data type described in section 5.2.3.<br />

The acceleration response data is first split into several blocks and then injected. A<br />

block of 11,264 data points is injected to a node at a time, and this injection is repeated<br />

three times to each node. Eventually each node receives 33,792 data points per sensing<br />

channel. Dividing time histories into several blocks is incorporated to simulate the Imote2<br />

sensing process, which must be performed repeatedly, as explained in section 7.2.1, to<br />

collect long records of data.<br />

NExT is performed on the data injected to the Imote2s corresponding to nodes 2 to 7<br />

(see Figure 7.7). Node 4 is designated as the cluster head, organizing distributed<br />

correlation function estimation. The number of data points used in the FFT calculations is<br />

1,024, resulting in 21 time averages in estimation of the spectral densities for the 11,264<br />

point data records and 63 time averages for the 33,792 point data records. Then the<br />

spectral densities are converted to correlation functions by the inverse FFT. Figure 7.20<br />

shows the cross-correlation function between the vertical acceleration responses at nodes<br />

3 and 4 (see Figure 7.7) calculated on the Imote2 as well as that calculated on the PC. The<br />

estimate from the PC is overlaid by the estimate from the Imote2. Note that only the first<br />

256 data points, or one second, of the correlation function estimate on the Imote2 is<br />

reported to the base station and the cluster head to reduce communication requirements.<br />

The subsequent modal analysis using ERA usually utilizes only a portion of the<br />

correlation function, eliminating the need to transfer the entire correlation function. Figure<br />

7.21 shows the difference between a correlation function estimated on the Imote2 and the<br />

corresponding correlation function estimated on the PC. From these figures, NExT on the<br />

Imote2 is considered to be numerically equal to that on the PC with the precision of a<br />

double data type.<br />

119

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