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Anomaly Detection of Underwater Gliders Verified by Deployment Data

Ruochu YangMengxue HouChad LembkeCatherine EdwardsFumin Zhang
Dec 2022
摘要
This paper utilizes an anomaly detection algorithm to check if underwatergliders are operating normally in the unknown ocean environment. Glider pilotscan be warned of the detected glider anomaly in real time, thus taking over theglider appropriately and avoiding further damage to the glider. The adoptedalgorithm is validated by two valuable sets of data in real glider deployments,the University of South Florida (USF) glider Stella and the Skidaway Instituteof Oceanography (SkIO) glider Angus.
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