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Hello. I am trying to create an overlay of a signal for it's current values compared to the past 10 years, to create a simple visualization of current levels compared to historic levels as the signal follows a yearly periodic pattern. My current approach has been a bit tedious, but I've first shifted the signal individually by 1, 2, ..., 10 years, and then I've created two new signals from the max/min value of all the shifted signals as they overlap. This was done by using the zipWith function, since some years the signal was missing data. I used the formula recommended from this thread: I've played around with capsules a bit and I'm sure there's an easier way to accomplish this, but my following question will still be relevant regardless of the approach of creating the signal overlay. I now have the signals displayed in one lane, but what I'd like to do is to make the area betwen the Max/min signals shaded, similar to how it looks in a Scorecard. From what I've seen in forum posts this was possible before with a tool called "boundary" as shown at the end of this thread: However, I don't think this solution is possible anymore in the current version of SeeQ. I assume Scorecards can be used in a similar way, but I haven't been able to figure this out. Any help would be appreciated, thank you!

I am trying to only show values of the maximum difference between my temperature setpoint and PV ($hssp) within a certain period ($hrs). I used the below to set up my capsule (hopefully using the right notation) but am getting all the values during my condition range ($hrs which I identified which steps of the process to consider). $hssp.within($hrs).toCondition('Heater_Sag') I will like to ONLY show the maximum value seen during this condition range. I tried the following below but got an error message as it seems that I am not using the proper notation: $hssp.maxValue($hssp.within($hrs).toCondition('Heater_Sag')) No variant of function 'maxValue' consumes the parameters (Signal, Condition) at 'maxValue', line=1, column=7 I then tried the below and received another error message: $hd.aggregate(maxValue(), $hsis) ⬆ No variant of function 'aggregate' consumes the parameters (Signal, Stat:Sample:Scalar, Condition) at 'aggregate', line=1, column=5

How to create a capsule every 5 days?

For reporting purposes, I want to calculate statistics based on the most recent period(capsule) and display that along with the periods immediately preceding it. This can be done in Organizer using the custom date range by creating a Periodic Condition and selecting the capsule closest to or offset by one from the end. The same date ranges or capsules relative to now can be created in Seeq Workbench as well. Organizer: Workbench: We create the same condition as the above Organizer in Workbench by following the methods below. The first method defines how to create conditions for current and previous conditions for years, days, weeks, shifts. The second method includes an extra step that is necessary for current and previous months and quarters since the exact duration of these periods can vary based on the number of days each month. Method 1 - when the length of time in each period is definitive (e.g. year, week, day, shift). This example shows how to create conditions for "Current Week" and "Previous Week" 1. Create a Periodic Condition for "Weekly" using the Periodic Condition tool. 2. Create a Condition around the current time ("Now") using Formula --> condition(1min, capsule(now() - 1min, now())) 3. Use the Composite Condition tool to create a condition for "Current Week" when the Periodic Condition "Weekly" touches the tiny capsule at "Now". 4. Use Formula to create a condition for the "Previous Week" --> $currentWeek.beforeStart(7d) Method 2 - when the length of time in each period is variable (e.g. month, quarter). This example creates a condition for "Current Month" and "Previous Month" 1. Create a Periodic Condition for "Monthly" using the Periodic Condition tool. 2. Create a Condition around the current time ("Now") using Formula --> condition(1min, capsule(now() - 1min, now())) 3. Use the Composite Condition tool to create a condition for "Current Month" when the Periodic Condition "Monthly" touches the tiny capsule at "Now". 4. Use Formula to create a Condition for the last day of the last period (in this case "Last Day of the Last Month") $currentMonth.beforeStart(1d) 5. Use the Composite Condition tool to create a condition for the "Previous Month" when the Periodic Condition "Monthly" touches the "Last Day of Last Month". Content Verified DEC2023

Question: I have a condition with multiple properties that I have displayed in the capsules pane. Is there a way to get the data from the capsules pane into a Seeq Organizer Topic?

I have a report i need to generate that has multiple potentially overlapping time periods. How can i get these times into my table? In my case, i want to calculate some statistics in my table over multiple variable time periods such as "April 2019", "Quarter 1", and "Year to Date", etc. 1

Im trying to create capsules using formulas but get errors. "capsule('August 15 2023 21:00', 'August 17 2023 17:00')" Do I need to define the asset? Thanks

Dear.... I have a Question.... I have a continues batch process, marked by an UNIQUE Batch ID (Bleu stepped line) and I need to perform calculation per Batch ID. How would I do that.... Calculation: tot rejects per batch, per signal !!!..... but.... look closely.(SEE SECOND image...)... the batch step is triggered at the start of the filling process.... and some of the reject counter may still be working on the previous batch.... TIPS and TRICKS are welcom....

The following steps will create a prediction model for every capsule in a condition. Step 1. pick a condition with capsules that isolate the desired area of regression. Any condition with non-overlapping capsules will work as long as there are enough sample points within its duration. For this example, an increasing temperature condition will be used. However, periodic conditions and value search conditions will work as well. Step 2. Create a time counter for each capsule in the condition. This can be done with the new timesince() function in the formula tool. The timesince() function will have samples spaced depending on the selected period so it is important to select a period that has enough points to build a model with. See below for details on the timesince() formula setup. Step 3. In this step a condition with capsule properties that hold the regression constants will be made. This will be done in the formula tool with one formula. The concept behind the formula below is to split the condition from step one into individual capsules and use each of the capsules as the training window for a regression model. Once the regression model is done for one capsule the coefficients of the model are assigned as properties to the capsule used for the training window. The formula syntax for a linear model-based condition can be seen below. An example of a polynomial regression model can be found in the post below. $Condtition.removeLongerThan(24h).transform($cap-> { $model=$SignalToModel.validValues().regressionModelOLS( group($cap),false,$Time) $cap.setProperty('Slope',$model.get('coefficient1')) .setProperty('Intercept',$model.get('intercept'))}) Below is a screenshot of how the formula looks in Seeq. Note: The regression constants can be added to the capsule pane by clicking on the black stats button and selecting add column. Below is a screen shot of the results. Step 4. Once a condition with the regression coefficients has been created the information will need to be extracted to a signal form. The following formula syntax will extract the information. This will need to be repeated for every constant from your regression model. e.g.(So for a linear model this must be done for both the slope and for the intercept.) The formula syntax for extracting the regression coefficients can be seen below. $signal=$Condition.transformToSamples( $cap -> sample($cap.getmiddle(), $cap.getProperty('Intercept').toNumber()), 1min) $signal.aggregate(average(),$Condition,durationKey()) Below is a screenshot of the formula in Seeq. Below is a screenshot of the display window of how the signals should look. Step 5. Use the formula tool to plot the equation. See screenshot below for details. Final Result

I have a condition with several capsules of various lengths; how do I determine the time period or length of each capsule? For example, my first capsule is 24 hours long, and then the next capsule is only about 3 hours. I'm looking for a way where I can get this information for all of my capsules.

FAQ: I have a CSV file that has the start and end times of some historical events and various information about the events that I would like to use in my analysis in Seeq. How do I go about getting these events and all of their associated information into Seeq?

When examining data in Capsule Time view it can be useful to view data from the time period immediately the capsules alongside the data during the capsules. This can be done by: 1. Hover over the x-axis (shown in the image above as measuring time from the start of the capsule in hours), click and drag your mouse to the right. You will likely see no data from the time period before 0.0 on the x-axis. 2. Click on the "Dimming" option at the top of the Display Pane. Check the box to "Show Data Outside of Conditions". When this box is checked the data outside of the conditions is displayed, slightly more faintly than the data within the capsules. Optionally, utilize some of Seeq's coloring features in capsule time to display the data from each capsule and before/after in different colors (rainbow shown).

I need to receive the starting time of the water breakthrough in absorbers. For that I do following: Filtering the signal of water content to smooth it. Creating the derivative of the water content to use it further to find where the water content increasing Creating the conditions: A. when the inlet valve is open (adsorbtion cycle) B. when the water content is higher than 0.5 (for 5 min) C. when the derivative is higher than 0.0001 to find the increasing of the water content 4. Creating the composite conditions: AA. intersection of A & B BB. intersection of AA & C Probably it's not the optimal solution, but it works (see pic below). A, B, C...etc are the conditions (see above). Question: How to remove all other capsules which are within the specified conditions? I need only the first capsule in BB (there are 2 capsules at the pic below, I need only first). I will then export this info to excel and extract only the start time. Therefore, all other capsules except first are trash.

Background: When looking to identify trends or step changes in a signal, we typically recommend an approach of smoothing the signal, taking the first derivative, then identifying when that derivative is positive or negative. This method works well most of the time, but employing this technique in combination with others can be more effective at capturing trends/step changes when the value change in the signal is more subtle. Solution: When looking for step changes, we can use a technique of calculating a range of the signal on a rolling periodic basis and search for when the range exceeds some limit. We can then combine this condition with when the derivative is positive (increasing step changes) or negative (decreasing step changes) to capture our final condition. 1. Create a rolling window over which you will look at the range (max-min value) of the signal. In my example I used a 4h window every 30 minutes, because my tank draining events were typically never longer than 4h. Select the smallest time period that you can that is still longer than your longest draining event. periods(4h, 30min) 2. Use Signal from Condition to calculate the range (max-min) of your signal over each of the rolling windows. Make sure to place the time stamp of the statistic at the end of each rolling capsule. 3. Identify time periods when that range calculation is above some threshold. In this example we used a threshold of 2 based looking at the trend output of our step 2. If we zoom in on a smaller range of time, we see that our capsules for when the range value is high actually extend beyond the completion of our decreasing signal. 4. We can intersect this condition that we have identified for high range in the signal with a condition for when the derivative of the signal is negative to capture our desired events. First calculate the first derivative of the signal. We apply a smoothing agileFilter in this step as well to remove signal noise. $tlth.agileFilter(2min).derivative() 5. Identify when that derivative value is less than zero using the value search tool. 6. Now take the intersection of the condition for negative derivative of the level and the condition for high range. The final view of the original signal and the events identified: Use chain view to validate your calculations: Content Verified MAY2024

Hi all, Based on a conditions, I have create 3 capsules (trend value > 0.1) for three different equipment. What I want is to align these 3 capsules (and all the follow) to have the same start time.... #howto ??

I'm trying to create a startup capsule for a gas turbine. How do I create a Capsule using the start of one Capsule and end when a signal reaches a certain value? Thanks in Advance Chris

Overview Often times two (or more) units that the same products and unit procedures. This is common in continuous processes that are running a specific "grade"; also in batch processes that are manufacturing the same product ID. Since they are identical pieces of equipment or units, the “profiles” of critical process parameters are similar and we want to use profiles from multiple units for our reference profile. In this example we will create a profile from 2 units - the same process can be applied for additional units ad infinitum. Then we will apply this profile to a running batch to look for deviations in near real-time. Step 1: Add Signals and Conditions to Display Add the signals for profiling. Then specify the modes of operation, or unit procedures, using Seeq's Condition logic to create capsules - there are various ways to do this using Seeq's Capsule logic Formula, Value Search, Custom Condition, Composite Condition, etc. Shown below are temperature signals for two units R-401 and R-402, along with their corresponding unit operations. Note that some capsules are overlapping in time, but don't worry, Seeq will handle this just fine. Step 2: View the signals in Capsule Time Here we use the Seeq trending tools to examine the profiles. Capsule Time is a great way to do this. The 'Group' button in the menu can select the appropriate capsules to overlay the signals - and handle those pesky overlapping capsules on the different units. We can filter out additional capsules if we want; but let's use them all in this example. Here are the profiles we’ll use to make our reference profile: Step 3: Build the Reference Profiles The key to building a reference profile with multiple signals and conditions is to use the Formula Tool. The Reference Profile Tool in the Tools Pane provides a nice user experience for a single signal with a single condition - that approach won't work for us here. We will create two unique profiles, upper and lower, but we’ll need 4 formulas so we can repeat the profile over both the R-401 unit procedures and the R-402 unit procedures. We “selected” each capsule in the formula by creating a bunch of capsule groups that just contained a single capsule. This approach works in all cases including overlapped capsules. Here’s the formula for the upper profile, +3 Standard Deviation, repeated over R-401 and we plotted the reference profile in capsule view. Below is the Formula that we used, for easy cutting/pasting. *Pro Tip* - Use the Start and End times from the Capsules Pane to define the capsule() times in the toGroup() function. The times do not have to match the exact times of the capsule - they only need to fully enclose the single capsule. Usually this gives us a little wiggle-room on the times. This formula uses the referenceTable() function to build the profile across the 2 units and 2 signals. We specified each capsule and each corresponding signal in each capsule then added them using addRows() to the referenceTable(). Then we told Seeq which condition to draw the reference profile using repeatOver() along with the statistic to calculate, +3 StdDev, in this case. Important! The referenceTable() function must include Bounded Capsules, i.e. those with specified maxDurations, otherwise you will get an error suggesting to use the removeLongerThan() function. Make sure that the $c401 and $c402 conditions are either bounded or were created with the removeLongerThan() function. $R401_1 = $c401.toGroup(capsule('2019-10-07T05:00-06:00', '2019-10-07T07:00-06:00')) $R401_2 = $c401.toGroup(capsule('2019-10-07T09:00-06:00', '2019-10-07T11:00-06:00')) $R401_3 = $c401.toGroup(capsule('2019-10-07T15:00-06:00', '2019-10-07T16:30-06:00')) $R401_4 = $c401.toGroup(capsule('2019-10-07T16:30-06:00', '2019-10-07T18:00-06:00')) $R401_5 = $c401.toGroup(capsule('2019-10-08T00:00-06:00', '2019-10-08T02:00-06:00')) $R402_1 = $c402.toGroup(capsule('2019-10-07T05:30-06:00', '2019-10-07T07:30-06:00')) $R402_2 = $c402.toGroup(capsule('2019-10-07T11:00-06:00', '2019-10-07T13:30-06:00')) $R402_3 = $c402.toGroup(capsule('2019-10-07T14:00-06:00', '2019-10-07T15:15-06:00')) $R402_4 = $c402.toGroup(capsule('2019-10-07T15:20-06:00', '2019-10-07T16:40-06:00')) $R402_5 = $c402.toGroup(capsule('2019-10-08T00:30-06:00', '2019-10-08T02:30-06:00')) $rt = referenceTable (2min) .addRows ($t401, $R401_1) .addRows ($t401, $R401_2) .addRows ($t401, $R401_3) .addRows ($t401, $R401_4) .addRows ($t401, $R401_5) .addRows($t402, $R402_1) .addRows($t402, $R402_2) .addRows($t402, $R402_3) .addRows($t402, $R402_4) .addRows($t402, $R402_5) .repeatOver($c401 , ReferenceTableStat.StdDev, 3 ) $rt Repeat the above process for the R-401 lower profile. *Pro Tip* - Use the 'Duplicate' functionality by clicking on the 'Item Properties' i-icon in the Details Pane. Then we only need to change the "3" to a "-3" at toward the end of the formula to do a -3 Standard Deviation. Repeat this process 2 more times for the R-402 upper and lower profiles. We only need to change the parameter in the repeatOver() function from $c401 to $c402. Here is everything plotted in Calendar Time as Reference Profiles and then as Boundaries after using the Boundary Tool. And now with Boundaries: Step 4: Apply Boundary to Running Unit Lastly, let's apply this boundary to a currently running mode of operation or batch. Let's focus on unit R-401 at the moment. All that we need to do is add the currently running capsule to the existing 'R-401 Unit Procedure - Product X' Condition. This can be done in a variety of ways using Seeq's Formula functions for modifying conditions. Here I'll simply add a Capsule by drawing it using the Custom Condition tool. Note, the result is a capsule that shows the boundary of the running batch, projected into the future. This same approach can be applied to unit R-402. Seeq is able to handle any arbitrary amount of units, signals, overlapping or not to create your reference/golden profiles.