How Marple is used in Automotive
Data analysis is an essential part in the automotive sector. During research and development many simulations, experiments and full scale tests are performed. This generates a lot of data that has to be visualised and analysed in order to solve problems or optimise the performance of the system.
In this use case we will look at some example data from a race car and how we can visualise it using Marple. We will show you how we can use some features of Marple to make the analysis easier.
First of all we open the data
data_demo_race.csv. Marple offers us a preview window that can be used to fine tune how the data is imported. This can be very useful for very large files, as the preview only shows a small part of the data.
Marple offers a preview of the data
Once the data is loaded we can select what data we would like to see in a very dynamic way. No need to write any code or pre-define what signals to select. In this case we are interested in the speed and acceleration of the car. We also look at the pedal input and the driven distance in the lap.
Marple can easily visualise signals with different value ranges
The acceleration signal contains some high frequencies that we are not interested in. Luckily we can easily filter this out using Marple. We can create a new signal
accel_filtered which is a low-pass filtered version of the original signal
accel. We can select the
low-pass filter option and tune the frequency until we are happy with the result.
Marple allows post-processing of your data
The acceleration signal looks a lot better now. The filtered signal is a new signal, so we can still use the original raw signal where necessary.
In an automotive system there are usually various subsystems or different components that have to be analysed. In a workbook we can make multiple tabs to create many different visualisations. We already prepared a tab about the engine in this workbook.
Marple workbooks can have multiple tabs
In order to do proper analysis we need to be able to play with our data. In Marple you can quickly zoom, pan, select zoom, .. to find the piece of data you are looking for.
In this example we could see how Marple is used to analyse data from a race car. Of course, we can use Marple to visualise other types of time series as well and use the same tools as shown here.
With Marple we were able to
- Easily import the data file
- Easily visualise different types of signals
- Apply post-processing on the data
- Have different types of analysis in the same workbook
- Play with the data