I am collecting stats from a number of different sensors on a racing car.

They update every millisecond and are plotted to a real-time graph.

I can see the graph update an observe trends and outliers through a bespoke application.

What I would like to do is extend this bespoke application to automatically alert me to outliers.

To do this I can train the application with 'correct' data based on previous laps completed. If a data-point from a sensor deviates from this correct level on a new lap then I want this to be classified as an outlier (depending on the model I am using).

Any help appreciated.

  • $\begingroup$ Is the data available somewhere? There is much too little publicly available data for outlier detection, unfortunately. $\endgroup$ – Has QUIT--Anony-Mousse Jun 20 '15 at 11:12

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