A graph-structured failure-mode dataset for autonomous cargo ships, built with Word2Vec, BERT-KPCA, and Sentence-BERT features, is presented with GNN classification accuracy of 0.735.
In particular, collision incidents have the potential to trigger cascading fault modes that compromise the operational integrity of ships
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Graph-Structured Data Analysis of Component Failure in Autonomous Cargo Ships Based on Feature Fusion
A graph-structured failure-mode dataset for autonomous cargo ships, built with Word2Vec, BERT-KPCA, and Sentence-BERT features, is presented with GNN classification accuracy of 0.735.