Anomaly Detection of Underwater Gliders Verified by Deployment Data-Reference-Cited by-同舟云学术

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Anomaly Detection of Underwater Gliders Verified by Deployment Data

Published:2023-03-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Underwater Technology (UT)
language:
Short-container-title:

Author:

Yang Ruochu¹,Hou Mengxue²,Lembke Chad³,Edwards Catherine⁴,Zhang Fumin¹

Affiliation:

1. Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,United States

2. Purdue University,College of Engineering,West Lafayette,United States

3. University of South Florida,College of Marine Science,St. Petersburg,United States

4. Skidaway Institute of Oceanography,University of Georgia,Savannah,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10103357/10103201/10103445.pdf?arnumber=10103445

Reference28 articles.

1. Multimodal execution monitoring for anomaly detection during robot manipulation

2. Automatic fault diagnosis for autonomous underwater vehicles using online topic models

3. Online fault detection and model adaptation for Underwater Vehicles in the case of thruster failures

4. Model-based fault-detection and diagnosis – status and applications

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. General Anomaly Detection of Underwater Gliders Validated by Large-scale Deployment Datasets;OCEANS 2023 - MTS/IEEE U.S. Gulf Coast;2023-09-25

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