: This information is processed at the "edge" (locally) or in the cloud using AI and machine learning (ML) .
: Algorithms compare live data against a "normal" baseline to identify the faint deviations that precede a malfunction. AN INTRODUCTION TO PREDICTIVE MAINTENANCE
: Evaluates voltage and current waveforms to identify motor degradation without needing mechanical access. : This information is processed at the "edge"
: IoT sensors attached to machinery track physical parameters like vibration, temperature, pressure, and acoustic signals. AN INTRODUCTION TO PREDICTIVE MAINTENANCE
: Virtual replicas of physical assets that simulate "what-if" scenarios to improve prediction accuracy. What is Predictive Maintenance? - IBM
: The most common technique; it detects imbalances or misalignments in rotating parts like motors and gearboxes.