Publication Date:
2019-07-13
Description:
Modern aircraft, both piloted fly-by-wire commercial aircraft as well as UAVs, more and more depend on highly complex safety critical software systems with many sensors and computer-controlled actuators. Despite careful design and V&V of the software, severe incidents have happened due to malfunctioning software. In this paper, we discuss the use of Bayesian networks (BNs) to monitor the health of the on-board software and sensor system, and to perform advanced on-board diagnostic reasoning. We will focus on the approach to develop reliable and robust health models for the combined software and sensor systems.
Keywords:
Aircraft Communications and Navigation
Type:
ARC-E-DAA-TN3710
,
Annual Conference of the Prognostics and Health; Sep 25, 2011 - Sep 29, 2011; Montreal, Ontario; Canada
Format:
application/pdf
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