NIST 800-53 REV 5 • MAINTENANCE
MA-6(2) — Predictive Maintenance
Perform predictive maintenance on {{ insert: param, ma-06.02_odp.01 }} at {{ insert: param, ma-06.02_odp.02 }}.
CMMC Practice Mapping
No direct CMMC mapping
NIST 800-171 Mapping
No direct NIST 800-171 mapping
Related Controls
No related controls listed
Supplemental Guidance
Predictive maintenance evaluates the condition of equipment by performing periodic or continuous (online) equipment condition monitoring. The goal of predictive maintenance is to perform maintenance at a scheduled time when the maintenance activity is most cost-effective and before the equipment loses performance within a threshold. The predictive component of predictive maintenance stems from the objective of predicting the future trend of the equipment's condition. The predictive maintenance approach employs principles of statistical process control to determine at what point in the future maintenance activities will be appropriate. Most predictive maintenance inspections are performed while equipment is in service, thus minimizing disruption of normal system operations. Predictive maintenance can result in substantial cost savings and higher system reliability.
Practitioner Notes
Predictive maintenance goes beyond preventive — it uses data and analytics to predict when a component is likely to fail so you can replace it proactively. Think of it as using trends and telemetry to forecast problems.
Example 1: Use S.M.A.R.T. monitoring tools (CrystalDiskInfo or your server management interface like Dell iDRAC or HP iLO) to track hard drive health metrics over time. Replace drives showing degrading metrics before they fail and cause downtime.
Example 2: Deploy a monitoring solution like Datadog, SolarWinds, or Azure Monitor that tracks hardware telemetry trends — CPU temperatures, memory errors, fan speeds. Set alerts for metrics trending toward failure thresholds so you can schedule replacement during planned maintenance windows.