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: In the manufacturing industry, the environment for collecting sensor data has expanded through Industry 4.0, but labeling is difficult, and there is relatively little faulty data, making it ...
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