Transfer Learning for Anomaly Detection in Rotating Machinery Using Data-Driven Key Order Estimation
Abstract: The detection of anomalous behavior of an engineered system or its components is an important task for enhancing reliability, safety, and efficiency across various engineering applications.
Abstract: Ship dangerous situations result from the fact that some ships encounter complex conditions in confined waters and, therefore, ship collision risk assessment is important to support maritime ...
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