In order to improve the interaction and the post-processing of the data obtained during different tests, a software application was designed for internal use to plot, extract and modify the data. This application is capable of processing large chunks of data (up to 60 GBytes per file) and to speed-up the post-processing, allowing the engineers in charge to more easily and accurately draw conclusions.
The detection of phenomena is important in real-time tests so the test engineer can adapt to the conditions. An algorithm was designed and implemented to detect these phenomena and send instructions to the lead test engineer. This led to more accurate tests and time reduction.
Skills used: Project management, Interdisciplinary group management, Python, Matlab
