Maintenance excellence through PM, CBM, and predictive ML

Feed PM programmes with live readings, faults, and operating context from OT. Reduce work orders driven only by static schedules when condition says otherwise—and keep a ready path from preventive → condition-based → predictive as data quality grows. Pair with Condition Monitoring for sensor trends and alerts, and FRACAS & Reliability to turn failures into corrective action.sensor trends and alerts in Condition Monitoring

- PM = calendar / usage schedules that generate real work orders—not spreadsheet guesswork.
- CBM = sensor thresholds (vibration, temperature, pressure, current/voltage) → alarms or auto orders.
- PdM = ML anomaly / failure prediction on live equipment signals. PM, CBM, and PdM are not the same job.
- AMM closes the loop: job cards, schedules, work orders, Maximo path—plus FRACAS & Reliability so failures become improvements. Related: Condition Monitoring, AMM, AI/ML Workbench.Condition MonitoringAMMAI/ML Workbench