Machinery Fault Detection using Artificial Intelligence in Industry 4.0

Anomaly-informed remaining useful life estimation (AIRULE) of bearing machinery using deep learning framework

“…Anomaly identification is the first and most important step in any predictive maintenance endeavour. Machine health monitoring can be aided by anomaly detection [8] . Identifying the initial abnormality's timestamp may offer further information about the machinery's remaining useful life (RUL) [9] .…”