Structural Health Monitoring Using Smart Sensors - ideals ...

with the SDLV method and by adopting the majority of damage detection results on each
element. This conjecture needs to be confirmed with a larger number of samples.
Table 8.4. Summary of False Damage Detection Using the Mass Perturbation DLV
Method (Damaged Elements 8-12)
Damaged
Element
False
Damage
Detection
/Total
8 9 10 11 12
%
False
Damage
Detection
/Total
%
False
Damage
Detection
/Total
%
False
Damage
Detection
/Total
%
False
Damage
Detection
/Total
3 0/3 0 0/3 0 0/3 0 0/3 0 0/3 0
4 0/3 0 1/3 33 0/3 0 0/3 0 0/3 0
5 0/3 0 0/3 0 0/3 0 0/3 0 0/3 0
6 0/3 0 0/3 0 0/3 0 0/3 0 0/3 0
7 0/6 0 0/6 0 0/6 0 0/6 0 0/6 0
8 1/6 17 3/6 50 0/6 0 2/6 33 3/6 50
9 0/6 0 0/6 0 0/6 0 0/6 0 0/6 0
10 0/6 0 0/6 0 0/6 0 0/6 0 0/6 0
11 0/9 0 2/9 22 1/9 11 7/9 78 1/9 11
12 0/6 0 0/6 0 0/6 0 0/6 0 0/6 0
13 0/6 0 0/6 0 0/6 0 0/6 0 0/6 0
14 0/6 0 2/6 33 0/6 0 0/6 0 0/6 0
15 0/6 0 0/6 0 0/6 0 0/6 0 0/6 0
16 0/3 0 0/3 0 0/3 0 0/3 0 0/3 0
17 0/3 0 0/3 0 0/3 0 0/3 0 0/3 0
18 0/3 0 0/3 0 0/3 0 0/3 0 0/3 0
19 0/3 0 0/3 0 0/3 0 0/3 0 0/3 0
%
8.9 Summary
In this chapter, Imote2s were installed on a truss model, and damage to the truss
simulated by replacing an element with one of reduced cross section was identified by the
proposed SHM framework. Required time and power consumption, as well as fault
tolerance, were investigated. While some false-positive/negative damage detection cases
were observed, damaged elements were identified in most cases. The proposed SHM
framework employing DCS for SHM has, thus, been experimentally verified.
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