I have some samples that move on a rail for a few minutes. During this time, some forces act on these samples.
For example, I have M samples, for each sample, I have N features that are measured L times for each sample. The dimension of my data is(M*L, N).
I want to do anomaly detection to predict the anomaly before it occurs. 
I have a data set where the samples are marked as anomalous and ok.  
The data looks like this:
[![enter image description here][1]][1]


  [1]: https://i.sstatic.net/2o38N.png