Deep learning-based research on fault warning for marine dual fuel engines

Dual fuel engines are crucial for ensuring the safe navigation of ships. Predicting the working status of these engines can provide advanced knowledge of their condition and thereby guarantee safe navigation. In this study, a novel deep learning model, the CNN-BiLSTM-KAN, was designed to forecast ex...

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Bibliografiske detaljer

Principais autores:	Lingkai Meng, Huibing Gan, Haisheng Liu, Daoyi Lu
Format:	Artigo
Sprog:	Inglês
Udgivet:	Faculty of Mechanical Engineering and Naval Architecture 2025-01-01
Serier:	Brodogradnja
Fag:	marine dual fuel engine cnn bilstm kan fault warning
Online adgang:	https://hrcak.srce.hr/file/480767
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