M. Aku

A Lightweight Machine Learning Framework Predictive Maintenance and Operational Safety in Offshore Energy Systems

A novel, lightweight predictive maintenance framework that combines gradient-boosted decision trees (LightGBM) with real-time anomaly detection to forecast equipment failure risks in resource-constrained offshore environments and is deployable on standard web infrastructure at zero licensing cost.