AI-Based Predictive Maintenance Model for Industrial Systems
This paper proposes an end-to-end explainable predictive maintenance framework consisting of a contextual probabilistic prognosticator based on convolutional and self-attention networks and a SHAP-based attribution and a risk-sensitive decision layer that is formulated as either a mixed-integer linear programming or di...