I'm looking at some process data from a manufacturing plant. Specifically, I have data every minute from up to 10 meters that should read the same, but which are slightly different in reality. The meters are in different parts of the plant and are sometimes taken offline leading to nonsense values, so I've filtered the data - this means that my data set has lots of gaps in each individual meter reading. There's also noise in some of the meters related to startup/shutdown of lines (I think) that I haven't managed to completely filter out.
What I'd like to do, is:
Any thoughts or suggestions would be gratefully accepted!
No answers, just thoughts.
Thanks for your thoughts - no I can't interact with the system directly, but I can manipulate the data after the fact, so can amplify the numbers if required.
I agree with your suggested root causes and the fact that the drifting will develop over time. I do have the historical data, but what I'm trying to do is mine that data to see if there is a "fault" in one of the meters. Now that I've found a drift in at least one of the meters, I can get that one fixed - I'm trying to plan for the next issue and come up with a quicker way to identify this type of problem.
It is indeed like having multiple clocks...
Thank you for you help!