Hybrid-AI Approach to Health Monitoring of Vehicle Control System

Kenneth Lu1, Margarita Hiett1, Ernest Vincent Cross1, Michael Reposa1, Aaron Kain2, Erik Davis2

Proceedings of The 70th Annual Reliability & Maintainability Symposium (RAMS®) (January 2024)

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.

1 Charles River Analytics
2 BH Technology

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