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Casestudie Breakdown prediction Contell PILOT - Transumo

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This way of visualizing data is the most often way, past time data is looked at<br />

[Weerdesteyn06]. Due to missing additional decision support, this is currently the<br />

only way “data analysis” can be done. In fact, the person in charge has to analyze<br />

the behavior of the different monitored devices by having a look at their graphs. In<br />

case of an uncommon behavior, it is necessary to look at this specific graph more<br />

frequently.<br />

The third way, data can be displayed by the use of XiltriX, is basic statistics. It offers<br />

additional information to determine the current condition of a monitored cooling<br />

device. Although statistical analysis is a powerful method to detect changes in<br />

behavior, the current approach is too simple, as described in the following. 21<br />

Figure 3-6: XiltriX – Available Statistical Information [DEMO06]<br />

Figure 3-6 presents the currently available statistical data. Again, the calculations<br />

refer to the same dataset as above. The single columns contain the channel number<br />

of the connected sensor as well as the minimum, the maximum and the average<br />

temperature value. Furthermore, the standard deviation, the number of occurred<br />

21 See section 5.10 for new approaches<br />

29

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