Motor Bearing Failure Identification Using Multiple Long Short-Term Memory Training Strategies
In the context of condition-based maintenance of rotating machines in manufacturing systems, the early diagnosis of possible faults related to rolling elements of the bearing is mainly based on techniques from artificial intelligence, namely, Machine Learning (ML) and Deep Learning (DL).Approaches based on using Deep Learning methods have been the