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    Advancements in Gas Turbine Fault Detection: A Machine Learning Approach Based on the Temporal Convolutional Network–Autoencoder Model by Fahmi, Al-Tekreeti Watban Khalid, Reza Kashyzadeh, Kazem, Ghorbani, Siamak

    ISSN: 2076-3417, 2076-3417
    Published: Basel MDPI AG 01.06.2024
    Published in Applied sciences (01.06.2024)
    “…To tackle the complex challenges inherent in gas turbine fault diagnosis, this study uses powerful machine learning (ML) tools. For this purpose, an advanced…”
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    Journal Article