Dayyan

Hi, I've created plots to show when seal pots are manually drained, aiming to understand seal life through conditional monitoring. In my current snapshot, I depict seal pot drainage as fluctuations in the seal pot level. The second-to-last lane includes a rolling counter tracking drainage instance over a 6-month period. The goal is to use a tree map that changes colour based on the duration of seal pot drainage within that timeframe. I've successfully implemented a condition to identify seal replacements using a bathtub shape. However, my challenge is resetting the rolling counter in lane 9 to zero when a seal is replaced. The seal being replaced is shown by the dot in the last lane and the variable is called Tracking, the rolling counter is called Seal Replacement Metric. I have also created a step signal to count replacement. Is there a way to subtract the step signals as shown in image below. Thank you, Dayyan

Hi Sharlinda, Thank you for your guidance; I'll make sure to create a composite condition for the initial step. Currently, I've been utilizing the count function exclusively. Would you recommend using the running count parameter instead? Additionally, does the running count automatically reset after 6 months? I aim to have my data counted in 6-month periods and be continuous.

Hi, I am currently configuring monitoring and surveillance for seals on Seeq. As depicted below, the abrupt "bathtub" shape in the data signifies the replacement of the seal. In the second half, I have also generated the derivative of the function to illustrate this change. How can I effectively create a capsule or representation for this seal replacement? Furthermore, I have created a capsule for when the system is manually drained and established a count to track the occurrences of manual draining. Is there a way for the system to automatically recognize when a replacement has occurred and reset the count to zero? Kind regards, Dayyan

Hi Selmane, Thank you so much for that. The red capsules at the top indicate instances of manual draining. I am aiming to calculate the frequency of draining events recorded by these capsules over a six-month period, displaying the count on a tree map. This information is crucial for monitoring the condition of the seal over time. I have successfully implemented the code you provided; however, I've observed that the data ceases after 01/01/2023. The red capsules in the image below represent manual draining instances which I am aiming to count. The blue graph is the seal pot oil level. The red dotted line is the counter I have implemented as per the code you have provided. Please see the images as below. Thanks, Dayyan

Hi everyone, I hope this message finds you well. I am currently working on a project in Seeq and I am having some difficulty in aggregating capsules in 6-month intervals. I have a dataset represented by the variable $imd, and my current code is as follows: $imd.aggregate(count(), months(), startKey()).toStep() I want to adjust this code to specifically count the capsules in 6-month intervals, taking into consideration the information provided by Seeq's months() function. I understand that months() creates capsules for each month, but I'm unsure of how to adapt it for 6-month intervals.I'm working on a project where I am creating capsules for instances when a seal pot is manually drained. To analyze fluctuations, I was initially using derivatives and then creating capsules. However, I am now exploring alternatives and seeking advice on whether there might be a more effective approach. Any guidance or code examples would be greatly appreciated. Thank you in advance for your assistance! Thanks. Dayyan