failure prediction frameworks

Failure prediction frameworks are systematic methods used to forecast potential equipment or system failures before they happen. They analyze data from sensors, maintenance logs, and operational metrics to identify patterns indicating risk. By using statistical models, machine learning, or physics-based simulations, these frameworks help organizations plan maintenance proactively, reducing downtime and costs. Essentially, they act as early warning systems, enabling timely interventions to ensure reliability and safety.