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Structural Health Monitoring Using Smart Sensors - ideals ...

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input forces applied at nodes in the local sensor community to stress in elements in the<br />

same community. The structural analysis is, thus, performed as the product of the modest<br />

size matrix and DLVs<br />

The DLV method implementation on the Imote2 is now numerically examined. The<br />

DLV method based on a known mass perturbation is employed in this numerical<br />

validation; a similar procedure was employed to implement and validate the SDLV<br />

method.<br />

Prior to monitoring local sensor communities, mass normalization constants are<br />

estimated. These constants are also estimated on the Imote2. The structural responses of<br />

the truss before and after the addition of the known mass at node 11 are injected to 10<br />

Imote2s corresponding to nodes 7, 9, 11, 13, 15, 17, 19, 21, 23, and 25. The Imote2 at<br />

node 21 works as the cluster head and applies NExT and ERA before and after the mass<br />

perturbation. <strong>Using</strong> the identified modal parameters, the cluster head estimates the mass<br />

normalization constants using Eq. (6.21). The estimated mass normalization constants are<br />

listed in Table 7.4 together with the difference between the constants estimated on the<br />

Imote2 and the PC. The mass normalization constant estimation on the Imote2 is<br />

numerically identical to that on the PC.<br />

<strong>Monitoring</strong> of the local sensor community consisting of six Imote2s at nodes 2, 3, 4,<br />

5, 6, and 7 is now examined. The injection of data, correlation function estimates by<br />

NExT, and modal identification by ERA are repeated for the truss acceleration response<br />

data measured before and after element 9 is replaced with a thinner element. Identified<br />

modal frequencies and mode shapes before and after damage, as well as the estimated<br />

mass normalization constants, are used to construct flexibility matrices. As intermediate<br />

results, the singular values in Eq. (6.24) estimated on the Imote2 and on the PC are<br />

compared in Table 7.5. The DLVs calculated on the Imote2 are also compared with those<br />

estimated on the PC. The singular values and DLVs are considered numerically identical.<br />

The DLVs are then applied to the truss model to estimate the normalized accumulated<br />

stress. As shown in Table 7.6, the stress in element 9 is smaller than the threshold value of<br />

0.3. Because the normalized accumulated stress is only compared with the threshold<br />

value, the stress does not need to have many effective bits. Therefore, the stress estimation<br />

on the Imote2 is performed in a single-precision float data type having approximately<br />

seven effective digits. The normalized accumulated stress estimated on the Imote2 and on<br />

the PC is identical with respect to the precision of the float data type.<br />

7.2.5 DCS logic<br />

The DCS logic to find inconsistency in damage localization results is implemented on<br />

the Imote2. Sensor communities close to each other exchange information about damaged<br />

elements. Because the topology of sensor communities is formulated to have overlaps in<br />

monitored elements, at least two sensor communities monitor each element of the<br />

structure. If some communities find contradicting damage detection results, these<br />

communities repeat sensing, data processing, and the DCS logic. Also, if sensor<br />

communities detect damaged elements in a consistent manner, these communities report<br />

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