Efficient and responsible fault detection in AUVs: SHAP-Interpretable cubic SVM on time-series data
Published online on April 17, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, Ahead of Print.
Fault detection in Autonomous Underwater Vehicles (AUVs) is crucial for ensuring their safe and efficient operation, especially in challenging underwater environments. In this study, we investigate traditional machine learning models to detect common AUV ...
Fault detection in Autonomous Underwater Vehicles (AUVs) is crucial for ensuring their safe and efficient operation, especially in challenging underwater environments. In this study, we investigate traditional machine learning models to detect common AUV ...