Anomaly Detection of Underwater Gliders Verified by Deployment Data
- Resource Type
- Conference
- Authors
- Yang, Ruochu; Hou, Mengxue; Lembke, Chad; Edwards, Catherine; Zhang, Fumin
- Source
- 2023 IEEE Underwater Technology (UT) Underwater Technology (UT), 2023 IEEE. :1-10 Mar, 2023
- Subject
- Fields, Waves and Electromagnetics
Power, Energy and Industry Applications
Robotics and Control Systems
Smoothing methods
Navigation
Oceans
Estimation
Prediction algorithms
Real-time systems
Trajectory
anomaly detection
glider navigation
- Language
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.