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.