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Found 3 results

  1. As a user, I would like to be able to display the name of the maximum signal in an organizer this will help simplify troubleshooting. Is there anyway to do this? This is relatively simple using Formula and the splice() function. The main trick is getting the string value into the scorecard metric. This can be done by creating a scorecard metric with no statistics to create a scorecard that just displays the value of this string. I have shown an example of this below. This functionality is very useful if you want to create a string signal that has more than one value. For example, say that I have three signals. I want to create a scorecard metric that tells me which of these three signals is the largest at any point in time. I will start by creating a signal who's value at any given time is the corresponding name of the signal with the max value. This can be done relatively easy with formula using the max() and splice() functions. Example Formula: $maxValue = $s1.max($s2).max($s3) 'No Max'.splice('Signal1 is Max', $s1 == $maxValue) .splice('Signal2 is Max', $s2 == $maxValue) .splice('Signal3 is Max', $s3 == $maxValue) The following shows the result of the formula. Finally, I'll use Simple Scorecard again to create a metric that displays this Max Signal for use in Organizer Topics. Content Verified DEC2023
  2. Hi All, I'm trying to get a solution for the missing value imputation. Is there any ways to it like filling missing values with "Mean" or "Median". Below is the screenshot for the same. Regards, Jitesh Vachheta
  3. When performing certain types of analysis, it is desirable to combine past measured data with some future prediction, whether that prediction is dynamic or static. Future predicted data can be used for degradation or maintenance date predictions, future performance modeling, signal forecasting, or a wide variety of other potential use cases. Combining some future data with a measured signal is simple in Seeq! Another major benefit? As new data comes in the predicted values can be automatically updated with the actual data! Here is one way to join past measured data with some future forecast signal. Signals To combine measured and forecasted data we will need: Measured Data - a signal(s) that will replace the predicted signal as it becomes available Prediction / Forecast Signal - This could be a flat signal entered in formula, a signal developed in the prediction tool, or some other signal that extends out into the future Method for Combining the Signals 1. Create the Master Signal In formula, use the forecastSplice() operator to join the Measured Data and the Forecast Signal $measuredData.forecastsplice($forecastSignal) The Master Signal now appears as solid line where points are known, and dashed line where the points are still uncertain and expected to change. This is slightly different from the view shown above where the entire Master Signal was dashed due to uncertainty of future data. This helps the Seeq user to visually see where the Measured Data ends and where our Forecast Signal begins. Just as the above formula, the forecastSplice() will update as new data comes in Another operator, forecastConstant() can also be used. This would do something similar to what is shown above, however, instead of combining the Forecast Signal with the Measured Data, forecastConstant() would project the last value for the Measured Data into the future for some specified amount of time i.e. $measuredData.forecastConstant(1d) would create a Master Signal where the forecast is projected 1 day into the future: 2. Make sure the Master Signal is Auto-Updating By default when the page is loaded or the time range adjusted, the Master Signal will be recalculated and any new data from the Measured Signal will replace the Forecast Signal. Additionally, the analysis can be set to Auto Update. Content Verified DEC2023
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