Feature Selection for Unmanned Surface Vehicle Fault Diagnosis Research and Experimental Verification-Reference-Cited by-同舟云学术

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Feature Selection for Unmanned Surface Vehicle Fault Diagnosis Research and Experimental Verification

Published:2022-06-30 Issue:6 Volume:28 Page:542-550
ISSN:1976-5622
Container-title:Journal of Institute of Control, Robotics and Systems
language:en
Short-container-title:J.ICROS

Author:

Cho Hyunjoon,Choi Hyeung-Sik,Kim Hyung-Jin,Nam Keon-Seok,Ryu Je-Doo,Ha Kyoung-Nam

Publisher

Institute of Control, Robotics and Systems

Subject

Applied Mathematics,Control and Systems Engineering,Software

Cited by 7 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. Research on Clustering-Based Fault Diagnosis during ROV Hovering Control;Applied Sciences;2024-06-17

2. Fault-Coping Algorithm for Improving Leader–Follower Swarm-Control Algorithm of Unmanned Surface Vehicles;Applied Sciences;2024-04-19

3. Unmanned Surface Vehicle Thruster Fault Diagnosis via Vibration Signal Wavelet Transform and Vision Transformer under Varying Rotational Speed Conditions;Sensors;2024-03-06

4. CNN-based Autoencoder and Post-Training Quantization for On-Device Anomaly Detection of Cartesian Coordinate Robots;2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC);2024-01-08

5. The Study of Failure Mode Data Development and Feature Parameter’s Reliability Verification Using LSTM Algorithm for 2-Stroke Low Speed Engine for Ship’s Propulsion;Journal of the Society of Naval Architects of Korea;2023-04-20

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