Abstract: Detecting spectrum anomaly effectively is vital for spectrum management. Existing deep learning (DL)-based spectrum anomaly detection (SAD) methods struggle to detect spectrum anomaly by ...

Abstract: In order to improve the accuracy of bearing fault diagnosis and at the same time solve the problem of insufficient model training samples, this article integrates the digital twin technology ...