Anomaly Detection of Underwater Gliders Verified by Deployment Data

被引：0

作者：

Yang, Ruochu ^{[1
]}

Hou, Mengxue ^{[2
]}

Lembke, Chad ^{[3
]}

Edwards, Catherine ^{[4
]}

Zhang, Fumin ^{[1
]}

机构：

[1] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA

[2] Purdue Univ, Coll Engn, W Lafayette, IN USA

[3] Univ S Florida, Coll Marine Sci, St Petersburg, FL USA

[4] Univ Georgia, Skidaway Inst Oceanog, Savannah, GA USA

来源：

2023 IEEE UNDERWATER TECHNOLOGY, UT | 2023年

关键词：

anomaly detection; glider navigation; DIAGNOSIS;

D O I：

10.1109/UT49729.2023.10103445

中图分类号：

P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

This paper utilizes an anomaly detection algorithm to check if underwater gliders are operating normally in the unknown ocean environment. Glider pilots can be warned of the detected glider anomaly in real time, thus taking over the glider appropriately and avoiding further damage to the glider. The adopted algorithm is validated by two valuable sets of data in real glider deployments, the University of South Florida (USF) glider Stella and the Skidaway Institute of Oceanography (SkIO) glider Angus.

引用

页数：10

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