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Categories Analytics & Calculations
Created by Guest
Created on Aug 20, 2022

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Compression (with the opposite intention)

If you have a PI Tag that fluctuates within very excessive ranges, then it becomes quite difficult to observe its trending patterns in a chart because of its volatility. A feature to smooth the volatile values (i.e. exclude those outside of a user-defined band) would allow the slope of the trend to be examined without the noise. This would work like a mean reversion. The tagavg is no good because the result is a lagged output.
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  • Guest
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    |     Aug 20, 2022
    This smoothing tool would be very interesting. We have it in the plant control system and allows the evaluation of trends in high fluctuation variables. Apart from the fact of having a variable plotted with a lot of hidden varation, covering, the graphs of the other variables.
  • Guest
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    |     Aug 20, 2022
    Are these high fluctuations real behavior of the data or are they noise from the data source?
  • Guest
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    |     Aug 20, 2022
    I know newer versions of the AF have a regression function. However, compression functionality (with the opposite function) would help us with our volatile end calcs used for turbine/generator efficiencies. They can be hard on the eye to use in visualisation tools. TagAvg etc use out of date data impacting credibility of the data.
  • Guest
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    |     Aug 20, 2022
    Can you verify if these fluctuations are real or if they are noise from the data source? The reason I'm asking is if this is from the data source, a better way to handle this is via the ExcDevPercent setting for the PI Point.