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Found 5 results

  1. Need to clarify the difference between a "calendar month" (per an actual calendar) and a "normalized month" (365/12) Example screenshots: 1. I set the time window to 1 month, starting January 1st at 12:00am. It ends January 31st at 10:00am. This is a "normalized month" 2. I do an integral over months, UTC-12:00. It resets on the 1st of each month at 6:00am. This is a "calendar month". 3. If I manually type in "6 months," it is 1/1/2020 12:01am to 7/1/2020 1:01pm. However if I manually type in "26 weeks" it is automatically converted by Seeq to "6 mon
  2. FAQ: How do I create a condition for operational shifts if they alternate days and hours? e.g. (The EOWeO schedule) The following solution will keep the start times the same regardless of daylight savings. So, there will be an 11-hour shift in March and a 13-hour shift in November. For areas that don’t follow daylight savings a simpler solution can be found further below. Overview: To achieve the results described above the shift() function will need to be used in order to create the desired effects around daylight savings. If there was no daylight savings the periods() function wo
  3. There are many cases where a moving average needs to be monitored. To create any statistic that is associated with a sliding time frame, first use the periods() function in Formula to create the periodic capsules. A few examples are listed below. Intent Seeq Formula 30 day average every 1 day periods(30d,1d) 24 hour average every 1 hour periods(1d,1h) 30 minute average every 5 minutes periods(30m
  4. I have a series of data 56 days(5/13 to 7/8) long that represents one interval of shifts at a plant (4 shifts on a 2-3-3-3 schedule). I want to create a signal that is basically that interval of data repeated forever in either direction. The idea would be to be able to use that signal to determine what shift is on at any given time and compare data across shifts. How would I make this 56 day signal into something continuous? Thanks in advance!
  5. Rolling averages are frequently used in Seeq to smooth signals. Calculating a rolling average requires creating a Periodic Condition and then applying the Signal from Condition tool to aggregate the signal of interest over the bounding periodic condition. Sometimes, we want to calculate a rolling statistic over a time frame not listed in the Periodic Condition tool (anything < hours). To create a periodic condition for periods of time not offered in the tool, the Seeq formula tool can be used with the periods() function. For example, a 15 minute periodic condition can be created by en
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