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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 />

41

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