Through our empirical approach, we set-up a good understanding of the train data and maintenance information. Our platform is able to cope with over 600 sensor parameters acquired every few seconds. We analysed 100 billion data points.
We were able to categorise historical engine shutdown into different root causes. This enabled us to apply focused methods for different categories of engine shutdown.
We added terrain slope analysis by using GPS co-ordinates available in the orbita data and slope information via open public data. This increased the effectiveness of our methods in predicting engine failures.