Offshore Wind‐Hydrogen Systems Fault Detection Based on CNN‐BiLSTM‐AM Algorithm

This study presents a novel deep learning‐based approach for fault detection in offshore wind‐hydrogen systems. A fault detection model is developed using convolutional neural networks (CNNs), bidirectional long short‐term memory networks (BiLSTMs), and an attention mechanism (AM). The model is trai...

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Veröffentlicht in:	Quality and reliability engineering international 2024-12
Hauptverfasser:	Zhao, Tianxiang, Sun, Li, Zhou, Yilai, Kang, Zhuang, Li, He, Kang, Jichuan
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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