The quick and reliable detection of anomalous behavior in aerospace systems is addressed. Ways to adjust nominal sensor value expectations dynamically, taking into account the changing operating context of the system, are considered. How to utilize sensors selectively, determining which subset of the available sensors to use at any given time to verify nominal operation efficiently without processing a prohibitive amount of data, is examined.
Enhancing aerospace systems autonomy through predictive monitoring
1989-01-01
Conference paper
No indication
English
Intelligent Autonomy for Aerospace Engineering Systems
IEEE | 2018
|Machine intelligence and autonomy for aerospace systems
NTRS | 1988
|Machine intelligence and autonomy for aerospace systems
TIBKAT | 1988
|Transforming Aerospace Autonomy Education and Research
IEEE | 2021
|