The proposed methodology relies on machine learning ensemble learning algorithms and anomaly detection using fast entropy and attribute thresholding algorithms. The combined results of these ...

Abstract: Failure detection in rotating machines is critical for reducing maintenance costs, economic losses, and safety-related accidents. Deep learning has become a robust and powerful solution for ...