2 ms·

A good first step would be a scatterplots, time series plots and mark 1 eyeballs. It helps to understand the shape of the data before you start trying to fit m

• applied_heat 3y ago
  Right, make some scatter plots of bearing temp vs oil inlet temp and machine load, establish a fitted line, then can detect anomaly when new measurements vary from expected by more than some threshold. Doesn’t seem that fancy, but better than waiting for a small problem to turn in to a larger problem. I think it will also be useful in highlighting differences between identical machines, why does the one right beside the other run 5 degrees hotter on thrust bearing? etc