CNN-Based Hybrid Optimization for Anomaly Detection of Rudder System

CNN-Based Hybrid Optimization for Anomaly Detection of Rudder System

In this study, an automatic test platform suitable for steering gears was established, which can test four sets of rudder systems separately. In addition, we propose an anomaly detection method based on deep learning technology to complete the automated multi-fault classification of the steering gea...

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Bibliographic Details
Main Authors: Weili Wang, Ruifeng Yang, Chenxia Guo, Hao Qin
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Anomaly detection
data analysis
HPSOGWO-CNN
rudder system
Online Access:https://ieeexplore.ieee.org/document/9527250/

Internet

https://ieeexplore.ieee.org/document/9527250/

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