Explainable Neuro-Symbolic System for Predictive Maintenance: Detecting and Interpreting Rare Failure Events
A neuro-symbolic architecture that uses an online rule-learning algorithm to explain when a deep-learning-based anomaly detection model predicts failures in predictive maintenance applications.
