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: Deep learning techniques have seen widespread application in seismic inversion, yet they face significant challenges when applied to fracture property inversion. The limited availability of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results