From a paper I published, go to a server farm and for three months collect data on each of 10 variables 100 times a second. Now, in real time, given values on

From a paper I published, go to a server farm and for three months collect data on each of 10 variables 100 times a second. Now, in real time, given values on each of those 10 variables, ask if the farm is sick or healthy? Get known, adjustable false alarm rate and a relatively high detection rate. So, it's a multi-dimensional, distribution-free hypothesis test. Don't know what patterns or properties are looking for and don't get a diagnosis, but still, if get a detection at a low false alarm rate, then have good evidence the farm is sick. So, this hypothesis test is not the same as you have described. So, is this unsupervised learning?