Event Based Pm
How does Event-Based PM differ from Time-Based PM?
Time-Based PM uses fixed intervals (e.g., every 30 days); Event-Based PM uses dynamic triggers from real-time equipment data or logs.
What data sources support Event-Based PM?
Sensor telemetry (vibration, temperature), control system logs, error codes, and operational cycle counters.
Can Event-Based PM be considered Predictive Maintenance (PdM)?
Yes, when events reflect early degradation patterns detected via ML or statistical modeling; otherwise, it may be Condition-Based Maintenance (CBM).
Event-Based Preventive Maintenance (PM) is a maintenance strategy where inspections, servicing, or part replacements are initiated only when a defined event occurs—such as a machine alert, sensor threshold breach, log anomaly, or operational cycle deviation—rather than on a calendar or running-time schedule. This approach integrates with IoT sensors, SCADA systems, or equipment logs to detect early degradation patterns and trigger maintenance before failure.
In shop floor maintenance, Event-Based PM is implemented within CMMS like ServiceGrid to auto-generate work orders when specific events are logged, such as vibration exceeding 5 mm/s or motor trip count reaching 3. It integrates with IoT sensors, SCADA systems, or equipment logs to detect early degradation patterns, enabling just-in-time maintenance in high-availability manufacturing where downtime cost exceeds PM labor cost. This strategy reduces unnecessary maintenance and optimizes resource allocation by responding to real-time equipment conditions.
Over-reliance on single-event triggers without pattern validation, leading to false positives and unnecessary maintenance.
Lack of event data integration with CMMS, causing missed triggers or delayed work order generation.
Ignoring event history context, such as not accounting for cumulative stress events, which reduces prediction accuracy and increases recurrence of failures.