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AIFDIR
The AIFDIR project aims to design, develop and validate SW components that are able to significantly improve the effectiveness and efficiency of the management functions of FDIR (Fault Detection, Isolation and Recovery) systems, through the use of artificial intelligence techniques based on Machine Learning (ML) and their integration with symbolic models of the systems and of the possible faults.
The project has a duration of 24 months. The main objectives of the project are to improve the development process of FDIR systems, improve the accuracy of rule-based FDIR components using artificial intelligence techniques and increase the diagnosis and prognosis capability of FDIR systems to identify causes of failures and possible propagations. The ultimate goal of the project is to improve the autonomy and reliability of aerospace systems used in future missions, which require a high level of autonomy. The results of the project are applicable to generic aerospace systems, such as satellites or space exploration vehicles.