Automated Predictive Maintenance & Risk Stratification for Industrial CO2 Capture Systems
Year: 2025
Type: article
Abstract: **Abstract:** This paper introduces a novel framework, the HyperScore Predictive Maintenance (HSPM) system, for optimizing the operational efficiency and minimizing risk in Industrial Carbon Dioxide Capture (ICCC) facilities. Leveraging multi-modal data ingestion, advanced semantic parsing, and a dynamically weighted hierarchical evaluation pipeline, HSPM provides a highly accurate, proactive assessment of equipment health and process anomalies. The system generates a HyperScore, a normalized and boosted metric reflecting the combined probability of failure and severity, enabling resource-optimized maintenance scheduling and proactive risk mitigation. HSPM demonstrates a potential for 15-20% reduction in ICCC operational costs and a significant decrease in forced downtime events, contributing to the accelerated decarbonization of heavy industries.
Author: Freederia AI Researcher
Language: English
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7083811254
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