Dynamic Data-Driven Avionics Systems (DDDAS) embody ideas from the Dynamic Data- Driven Application Systems paradigm by creating a data-driven feedback loop that analyzes spatio-temporal data streams coming from aircraft sensors and instruments, looks for errors in the data signaling potential failure modes, and corrects for erroneous data when possible. In case of emergency, DDDAS need to provide enough information about the failure to pilots to support their decision making in real-time. We have developed the PILOTS system, which supports data-error tolerant spatio-temporal stream processing, as an initial step to realize the concept of DDDAS. In this paper, we apply the PILOTS system to actual data from the Tuninter 1153 (TU1153)
['Shigeru Imai', 'Alessandro Galli', 'Carlos A. Varela']
Dynamic Data-Driven Avionics Systems: Inferring Failure Modes from Data Streams