Neither approach fits every data-center asset. Use preventive maintenance when work is due by time or runtime, required by standards or manufacturer guidance, or when reliable condition data are unavailable. Use condition-based maintenance when meaningful degradation can be measured, the consequences of failure justify monitoring, and staff can act on the evidence safely. Most facilities need a risk-based blend, chosen system by system.
What preventive, condition-based, and predictive maintenance mean
Preventive maintenance
Preventive maintenance schedules work by elapsed time or equipment runtime. It is useful for known age- or use-related deterioration and makes labor easier to plan. Its limitation is that a fixed schedule can trigger work before the equipment’s actual condition calls for it. ASHRAE’s 2023 Handbook, Chapter 40, and the U.S. Department of Energy’s Operations and Maintenance Challenges and Solutions describe these maintenance approaches.
Condition-based maintenance
Condition-based maintenance uses measurements of equipment condition or performance to guide when maintenance is needed. Measurements may be collected continuously or periodically and compared with a baseline, historical performance, or an appropriate standard. Rather than relying only on a calendar, staff can plan corrective work when they observe relevant degradation.
Predictive maintenance and reliability-centered maintenance
Predictive maintenance uses condition measurements and degradation trends to estimate when failure may occur, so intervention can be planned. The terminology is not universal: ASHRAE describes condition-based maintenance among predictive-maintenance subcategories. Operationally, the useful distinction is that condition-based work responds to measured condition, while predictive methods also analyze trends to anticipate a likely failure window.
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Reliability-centered maintenance (RCM) is a decision framework, not simply another sensor-based technique. DOE describes it as an optimized combination of reactive, preventive, and predictive strategies, selected using root-cause analysis, system reliability characteristics, and operating context.
How to choose an approach for each asset
Assess assets and systems individually rather than assigning one maintenance philosophy to the entire facility. Weigh safety consequences, required availability and performance, purchase and replacement cost, lifetime labor, downtime cost, and training. For monitoring, also account for sensors and instrumentation, calibration and upkeep, software integration, staff time, and the quality of the data. A measurement is useful only if it arrives early enough to support a safe maintenance window and the facility can act on it.
| Decision factor | Scheduled preventive work tends to fit when… | Condition-based or predictive work tends to fit when… |
|---|---|---|
| Task mechanism | A known calendar or runtime interval applies, or the task has a time-dependent requirement. | Wear or performance degradation can be observed and measured. |
| Failure consequence | The consequence is low, or scheduled work adequately controls the risk. | An outage, safety, or equipment consequence is high and an actionable warning is feasible. |
| Data and instrumentation | There is no dependable sensor or inspection signal, or monitoring costs outweigh its likely value. | Reliable measurements and a useful baseline or threshold can be established. |
| Task economics | The scheduled task is simple and inexpensive. | Avoiding unnecessary work, planning labor, or reducing downtime can justify measurement and analytics costs. |
| Operational readiness | Routine work can be planned without undue service risk. | Staff, procedures, alert ownership, and maintainable redundancy paths are in place. |
These are decision factors, not a prescribed scoring standard. They apply ASHRAE’s asset-level economic considerations and DOE’s site-specific maintenance-optimization framework.
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Examples are starting points, not universal assignments
ASHRAE gives roughing-filter changes and strainer cleaning as examples of tasks that may suit preventive schedules, while chillers and boilers may benefit from predictive strategies. The right choice still depends on the specific equipment, operating conditions, manufacturer instructions, and applicable requirements.
Plan maintenance around actual data-center redundancy
A maintenance strategy is only workable if the affected equipment can be taken out of service without compromising dependent computing systems. ASHRAE calls this capability concurrent maintainability. Before scheduling work, map the actual power and cooling dependencies and verify the permitted maintenance state and operating procedure for the equipment involved. ASHRAE cautions that an “N+1” label alone does not fully describe redundancy or prove concurrent maintainability; see 2023 Handbook, Chapter 20, Data Centers and Telecommunication Facilities.
Build condition monitoring that leads to safe action
- Establish a baseline. Use commissioning or recommissioning measurements, then update the baseline after significant upgrades or operational changes.
- Select relevant telemetry. Choose sensors and measurements suited to the power or cooling equipment and the failure modes you need to detect. ASHRAE’s AI Data Center Energy Performance Framework operations guidance recommends sensor baselines, anomaly detection, and thresholds for predictive alerts.
- Validate thresholds and assign alert ownership. Define who reviews each alert, how it is checked, and what action is authorized. A threshold that produces noise or reaches no responsible operator does not make maintenance more reliable.
- Write operating and maintenance procedures. Cover routine work, abnormal conditions, maintenance events, and alarm response. Tie alerts to approved methods and operating limits.
- Keep accountable people in control. Facilities personnel interpret findings, approve action, manage safety and compliance, and execute the work. Analytics can inform the decision; they do not replace operational control.
- Review life-cycle costs and outcomes. Include avoided downtime and labor as well as training, instrumentation, integration, and the consequences of false alarms or missed degradation. Track operational measures that match the facility’s goals.
Condition monitoring is not automatically cheaper. ASHRAE identifies instrumentation and training costs, along with the cost of purchasing and maintaining building automation systems and integrating them with computerized maintenance management systems (CMMS). Its example of a pressure-drop reading exceeding a set point shows how a measurement can initiate a maintenance call; the call still needs an appropriate response process.
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Match diagnostic methods to the equipment and failure mode
ASHRAE lists these nondestructive diagnostic methods for maintenance work:
- Thermal infrared imaging
- Electrical-current analysis
- Vibration analysis
- Lubricant and heat-transfer-fluid chemistry
- Pressure and temperature differentials
- Ultrasonic and eddy-current testing
- Dye penetrant testing
- Visual inspection
These methods are not interchangeable: select the measurement for the asset and failure mode, and use suitably qualified staff and equipment. For the same reason, a thermal-imaging device should be selected for the inspection’s requirements, not assumed suitable based on the product category alone.
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NIST’s Life Cycle Costing Manual for the Federal Energy Management Program, Handbook 135e2025, dated August 2025, reports that among top-performing facilities using RCM, 45% to 55% primarily implement predictive approaches, 25% to 35% primarily implement preventive approaches, and under 10% primarily implement reactive approaches. The statistic describes those facilities; it is not specific to data centers, does not establish that one approach caused better performance, and is not a recommended target mix.
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