Yassine

For the signals summing: ($A+$B+$C).setMaxInterpolation(5d).setUnits("kW") For each signal $A, $B and $C in the operation the general formula: $signal.replaceNotValid(0).agileFilter(1min)

Thanks Thorsten, I already tried both validvalues() and setMaxInterpolation(), it didn't solve the question! Note: the gaps areas correspond to invalid data replaced by 0 using replaceNotValid(0) in the summed elements. The total seems not recognizing the replaced data.

Hello, I am wondering why does a signal representing the sum of 3 signals have no values in some periods? Thanks

Hi all, I wanted to create a signal that calculate my compressor daily lube oil consumption. I used the score card metric function to calculate the daily rate change, but the issue is that when we fill in the tank, the calculation will provide wrong value. shall I create short capsules for each filling event and calculate the daily rate between two capsules? or is there any other easier method 🙂 ? Thanks

Can I connect my rotating equipment vibration sensors directly to SeeQ for spectrum analysis. Data sampling rate is in the range of 5kHz.

Thanks Thorsten. now it's ok.

Hi experts, Could someone advise please: I have a signal with missing data and tried to fill the missed data gap. it's a straight forward line as you see in the attachment. I use the $signal.setMaxInterpolation(4weeks) formula, but the produced signal is looking similar to the original one with no interpolation. did I missed something with the interpolation. Thanks in advance Yassine

Perfect.. it works.. the only thing I changed from your approach is that I used for Current_hours as the running run-hours from the compressor itself and not the created signal max_run_hours so the MTBF 1 trend looks sloped compared to the MTBF you proposed. That works pretty fine. Thanks Patrick

Hi, I would like to calculate the MTBF (Mean Time Between Failures) of a compressor. I have the running hours signal and captured capsules for failures. I want to create a trend showing the MTBF over time (MTBF= [current running hour - running hours at the beginning of the year]/the number of failures during the running year). Q1: I used $Capsule.aggregate(count(),years(),startkey()).toStep() to display failures trend (it should be increasing over a year with the new failures) but this gives me the total over that year without showing step change against the next failure capsule. Q2: how can I implement the MTBF formula in my calculation? Thanks