Project Partners
Responsible Institutes
T21 - Hybrid gas path analysis with physical and probabilistic models (HGP2A)
The aim of the transfer project is to combine methods of nonlinear gas path analysis (GPA) with approaches from the field of artificial intelligence (AI) for data-driven time series modeling of component wear. This makes it possible for the first time to take high-resolution aerosol exposure over time into account in data-driven, engine-specific GPA. Together with application partner LHT, the algorithm is being trained, validated, and applied for specific engines using verified historical and current data.
Last Change: 27.11.25
Participating institutions
