Enabling Smart Retrofitting and Performance Anomaly Detection for a Sensorized Vessel: A Maritime Industry Experience

no code implementations • 30 Dec 2023 • Mahshid Helali Moghadam, Mateusz Rzymowski, Lukasz Kulas

This study presents a deep learning-driven anomaly detection system augmented with interpretable machine learning models for identifying performance anomalies in an industrial sensorized vessel, called TUCANA.

Anomaly Detection Interpretable Machine Learning