Applying industrial data analytics in automotive test bed environments

Modern automotive test beds do not only produce the measurement data they are operated for, but also a lot of auxiliary data which is generated by sensors and software. This data is a byproduct of the testing process and not directly related to the unit under test. Nevertheless, its size can be enormous. A prototypical example of this data are software log-files that contain not only information about connected hardware devices and their current statuses, but also records of generated warnings and errors.