AI for Aerospace Technology
A major driver of climate change is flying, so we are striving to make this more sustainable. in doing so, we are focusing on researching the effects of operating conditions on aircraft engines to improve the timely planning of maintenance events and optimize them. To do this, we use machine learning mainly with time series of aircraft engines and numerical weather prediction models. The research aims to improve fuel efficiency and increase component longevity. This should enable plant operators and service providers to reduce costs and environmental footprint.
Status: In Flight
Funding:
Basic funding of the Max Planck Society.
Publications
Work in Progress
Persons involved
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Smart SH
In a comparison of the German states, Schleswig-Holstein scores below average on indicators such as gross domestic product per employee and research and development spending. One possible remedy against such scenarios is to provide impetus for technological innovations that have an impact on both economic growth and industrial development.