Kenneth Lu, Margarita Hiett, Ernest Vincent Cross, Michael Reposa, Aron Kain, Erik Davis
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Hybrid-AI Approach to Health Monitoring of Vehicle Control System
Advances in Artificial Intelligence and Machine Learning AI/ML have demonstrated enormous potential in improving and optimizing condition-based maintenance processes. In this paper, we present novel research that leverages the power of probabilistic programming and hybrid-AI that combines domain knowledge with data to create an effective analytic capability that monitors (in real-time) the health and status of a Robotic Combat Vehicle, next generation prototype ground vehicle for the US Army.
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