Matthias

Hello everybody,

I have the following question:

I am building an organizer topic, where I display averages per months of different phases of this year: 

I did this with the scorecard metric and it worked very well. However, I would like to display the average of each of these columns (phases) of the complete year in the last row below Dez.22. How can I do that? Ofc. I know how to calculate the average of the phases (columns) per year but how to display them the way I described above.

Any Ideas? Thank you very much.

Regards Matthias

Hello,

I would like to determine the mass [kg] per month of the shown signal. The signal is a sum counter.

The problem is that the signal only counts up to 1.0e+7 kg and then drops down to 27kg (sometimes 9kg or different values).

I guess I have to start to somehow identify the max and min peaks, calculate the difference for each drop and then summarize this over the month. This is the theory - but how does it work in practice?

Thank you.

Great Thorsten! Thank you. This is exactly what I need.

Regards

Matthias

Hello everybody,

I have a signal (e.g. of a valve) that is 1.0 for being open and 0 for being closed. I would like to calculate the percentage temporal progress of this signal during the 1.0 period. Please refer to the figure I added.

-> In the end I would like to create a signal that shows me the temporal percentage progress every time the signal valve opens (i.e. the signal becomes 1.0).

Thank you.

Regards

Matthias

Wow! Very good description and explanation! Thank you very much - it worked for me.

Hello everybody,

I am very new to SEEQ and have the following problem/question:

I would like to identify each maximum peak of the blue curve (shown below in the figure). Then I would like to compare each maximum peak's value - meaning something like the rate of change of lets say one peak and the upcoming peak. In the end I want to detect a significant change of the signal (marked by red X's) and would like to know its duration (marked by the red arrows).
 

Thank you.

Regards Matthias