Construction of Knowledge Graph for Marine Diesel Engine Faults Based on Deep Learning Methods

As the core equipment in ship power systems, the accurate and real-time diagnosis of ship diesel engine faults directly affects navigation safety and operation efficiency. Existing methods (e.g., expert systems, traditional machine learning) can hardly cope with the complex failure modes and dynamic...

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Bibliographic Details

Published in:	Journal of Marine Science and Engineering
Main Authors:	Xiaohe Tian, Huibing Gan, Yanlin Liu
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Subjects:	marine diesel engine fault diagnosis knowledge graph BiLSTM-CRF model deep learning
Online Access:	https://www.mdpi.com/2077-1312/13/4/693