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Advancements in Gas Turbine Fault Detection: A Machine Learning Approach Based on the Temporal Convolutional Network–Autoencoder Model
ISSN: 2076-3417, 2076-3417Published: Basel MDPI AG 01.06.2024Published 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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