Research Method for Ship Engine Fault Diagnosis Based on Multi-Head Graph Attention Feature Fusion

Research Method for Ship Engine Fault Diagnosis Based on Multi-Head Graph Attention Feature Fusion

At present, there are problems such as low fault data, insufficient labeling information, and poor fault diagnosis in the field of ship engine diagnosis. To address the above problems, this paper proposes a fault diagnosis method based on probabilistic similarity and rank-order similarity of multi-h...

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Bibliographic Details
Main Authors: Zeren Ai, Hui Cao, Jihui Wang, Zhichao Cui, Longde Wang, Kuo Jiang
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Applied Sciences
Subjects:
fault diagnosis
graph attention network
feature fusion
marine engines
machine learning
Online Access:https://www.mdpi.com/2076-3417/13/22/12421

Internet

https://www.mdpi.com/2076-3417/13/22/12421

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