Hey everyone, I am trying to work on a project. I have three datasets
Dataset 1: Machine voltage varying over a period of time. (continuous -40.000 rows) Dataset 2; Machine runtime, downtime and faults (continuous too – 8000 rows) Dataset 3: Machine degree of fault. Variable that varies between 1-3;integer. (Not exactly continuous, it states the time the alarm was triggered and identifies the degree of the machine fault). About 2000 rows.
How would I work with this dataset to do data analysis? I would like to find a relationship between voltage and degree of fault.
The end goal is optimizing the machine to minimize machine downtime. One approach is predictive maintenance/forecasting but other approaches are being considered too.
Edit: Changed flair
submitted by /u/maskedhypocriter
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