Remote Health Monitoring for Asset Management
Remote Health Monitoring for Asset Management
Remote Health Monitoring for Asset Management
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Where is the sample mean and n is the sample size. The standard deviation is a measure of<br />
how widely dispersed values are from the average. For sensors exposed to air, the measurements<br />
vary with the diurnal temperature variations, and as such the standard deviation is high. For<br />
sensors in sound earth, the temperature varies very little over time, such that the standard<br />
deviation would be expected to be low. To evaluate the behavior of the sensor array, data was<br />
examined under three conditions; the standard deviation over a 24 hour period, the average of 24<br />
hr standard deviations over 1 week, and the standard deviations <strong>for</strong> 1 week of data. Figure 5.16<br />
shows the standard deviation from the sensor array under each of the three conditions. Analysis<br />
of data in this manner reveals if such data analysis would be adequate over a short time period<br />
(24 hours), when ambient temperature variations may be small, as well as over a longer time<br />
period (1 week) when ambient temperature variations would be expected to be larger. For<br />
evaluation of the effects of scour, a shorter time period is desired, such that rapid notification of<br />
a change in condition at the pile site would be feasible.<br />
STANDARD DEVIATION (ºC)<br />
7<br />
6<br />
5<br />
4<br />
3<br />
2<br />
1<br />
Typical 24 hrs<br />
Average - 24 hrs<br />
7 - day period<br />
12<br />
10<br />
8<br />
6<br />
4<br />
2<br />
STANDARD DEVIATION (ºF)<br />
0<br />
0 50 100 150 200<br />
HEIGHT (in.)<br />
Figure 5.16. Standard deviation of temperature outputs <strong>for</strong> three time intervals: 24 hr. period, average of 24<br />
hr. periods <strong>for</strong> 7 days, and standard deviation over a 7 day period.<br />
0<br />
Figure 5.17 shows the average standard deviations <strong>for</strong> the 24 hr periods, as well as the standard<br />
deviation of those results, to indicate the scatter between separate 24 hr periods. As the figure<br />
indicates, the dispersion of standard deviations is higher <strong>for</strong> the sensor in air and in the transition<br />
region relative to those sensors in sound earth. The results shown in this figure indicate that<br />
examining the standard deviations may provide a robust tool <strong>for</strong> estimating the height of sound<br />
earth along the pile. The standard deviations <strong>for</strong> three sensors are shown in Table 1. This<br />
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