Condition-based maintenance (CBM) is a maintenance strategy in which servicing is triggered by the actual condition of an asset, rather than a fixed schedule or a failure event.
It uses monitoring data - gathered through sensors, inspections, or diagnostic tools - to determine when an asset genuinely needs attention. The result is maintenance that is precisely timed: performed before failure, but only when the evidence supports it.
That distinction matters. CBM eliminates the guesswork built into calendar-based servicing, and it avoids the costly disruption of reactive repairs.
It is one of the most resource-efficient approaches available to facilities teams managing diverse, high-value asset portfolios.
How Is Condition-Based Maintenance Different From Preventive and Predictive Maintenance?
These three terms are often used interchangeably, but they are not the same thing. Understanding the differences helps facilities managers select the right strategy for each asset class.
- Preventive maintenance operates on a fixed schedule - time or usage intervals set in advance, regardless of actual asset condition. It is reliable and straightforward to manage, but it frequently results in servicing assets that do not yet need it, or missing developing faults between scheduled visits.
- Condition-based maintenance bridges this gap. Maintenance is only performed when monitoring data indicates a threshold has been reached or a change in performance has been detected. There is no arbitrary calendar date; the asset's own condition sets the trigger.
- Predictive maintenance takes CBM further by using advanced analytics, machine learning, and failure pattern modelling to forecast when failure will occur and how much operating life remains. CBM identifies "something has changed"; predictive maintenance adds "and here is when it will become a problem."
In practice, CBM is often the more accessible starting point for facilities teams. It requires condition monitoring but not necessarily the sophisticated analytical infrastructure of a full predictive maintenance programme.
What Monitoring Methods Does Condition-Based Maintenance Use?
CBM is only as effective as the monitoring tools used to gather condition data. The most widely used techniques in commercial and industrial facilities include:
- Vibration analysis - Detects imbalance, misalignment, bearing wear, and mechanical looseness in rotating equipment such as pumps, motors, fans, and compressors. Changes in vibration signature are among the earliest indicators of developing mechanical faults.
- Thermographic inspection - Infrared cameras identify heat anomalies in electrical panels, switchboards, motors, and building envelopes. Hot spots that deviate from baseline temperatures signal faults such as loose connections, overloaded circuits, or insulation failure.
- Oil and fluid analysis - Laboratory testing of lubricant or hydraulic fluid samples reveals contamination, wear particle content, and degradation. Widely used in generators, hydraulic systems, and large rotating plant.
- Ultrasonic testing - High-frequency sound detection identifies compressed air or gas leaks, bearing faults, and early-stage electrical arcing that is inaudible to human hearing.
- IoT sensor monitoring - Continuous data streams from embedded or attached sensors tracking temperature, pressure, humidity, power consumption, or vibration in real time. Alerts are triggered automatically when readings cross defined thresholds.
The choice of method depends on the asset type, operating environment, criticality, and the infrastructure available to collect and act on the data.
Which Assets Are Best Suited to Condition-Based Maintenance?
CBM delivers the strongest return when applied to assets that exhibit measurable signs of deterioration before failure, and where the cost of unexpected failure is significant. Ideal candidates include:
- HVAC and refrigeration systems - Compressor vibration, refrigerant pressure, and coil fouling are all measurable conditions that predict performance decline well before a breakdown.
- Electrical infrastructure - Switchboards, transformers, and distribution panels can be monitored thermographically for developing faults without service interruption.
- Pumps, motors, and fans - Rotating equipment with identifiable vibration and temperature signatures across their wear cycle.
- Boilers and pressure vessels - Pressure stability, combustion efficiency, and water quality are measurable parameters that indicate maintenance need.
- Backup power systems - Generators and UPS units benefit from oil analysis, load testing, and battery condition monitoring to ensure reliability when called upon.
Assets with no measurable condition indicators, very low failure cost, or easily available redundancy are generally better suited to a simpler preventive or run-to-failure approach.
What Are the Real Benefits of Condition-Based Maintenance?
The business case for CBM is well established across Australian and New Zealand facilities management. Here is what organisations typically gain:
- Fewer unnecessary service interventions. Fixed-schedule maintenance often services assets that show no sign of deterioration. CBM eliminates this waste, directing technician time and parts expenditure only where the data justifies it.
- Reduced unplanned downtime. By catching developing faults before they become failures, CBM dramatically reduces the emergency repairs and operational disruptions that define reactive maintenance environments.
- Extended asset lifespan. Assets maintained in response to their actual condition - rather than over-serviced on a rigid schedule or under-serviced between fixed visits - tend to perform better across their full operational life.
- Lower total maintenance cost. The combination of reduced reactive repairs, optimised service frequency, and longer asset life produces measurable cost savings.
- Better capital planning. When condition data is tracked over time, facilities managers gain genuine insight into asset health trajectories. That intelligence informs replacement planning with evidence rather than estimation.
Implementing Condition-Based Maintenance: A Practical Framework
Moving from reactive or calendar-based maintenance to CBM does not have to be a wholesale transformation. A structured, phased approach works well:
- Identify CBM candidates. Start with your highest-criticality, highest-cost assets. Prioritise those with measurable condition parameters and significant failure consequences.
- Select monitoring methods. Match the monitoring technique to the asset type and fault modes you are targeting. Vibration for rotating plant; thermography for electrical infrastructure; oil analysis for lubricated systems.
- Establish performance baselines. Before you can detect deviation, you need to know what normal looks like. Document baseline readings for each monitored parameter under typical operating conditions.
- Define trigger thresholds. Set the condition values that will initiate a maintenance work order. These thresholds should be based on manufacturer guidance, historical failure data, and the risk tolerance of your operation.
- Integrate with your work order system. Condition alerts must connect directly to work order creation, technician assignment, and parts procurement. A monitoring tool that generates alerts into a separate inbox - disconnected from your maintenance workflow - creates delays and defeats the purpose.
- Review and refine. As condition data and maintenance outcomes accumulate, revisit your thresholds and monitoring frequencies. CBM programmes improve with operational experience.
Turning Facility Asset Data into Smarter Maintenance Decisions
Condition-based maintenance is not a technology purchase, it's a shift in mindset. It asks facility teams to stop maintaining assets on a fixed calendar and start maintaining them based on what the evidence actually shows.
That shift pays off in fewer surprise breakdowns, longer asset lifespans, and maintenance budgets that go toward work that genuinely needs doing rather than routine checks that turn up nothing.
But CBM only works when it sits inside a broader, well-considered maintenance strategy. It isn't a wholesale replacement for preventive or planned maintenance; it's a complementary layer, best applied to the critical, high-consequence assets where failure genuinely hurts.
Getting there requires groundwork.
Facility teams need a properly structured asset register, a clear view of which assets are critical to operations, and a facility management system capable of capturing condition data and turning it into action, not just recording it for later. Without that foundation, condition monitoring becomes another data stream nobody actually looks at.
Organisations that have progressed furthest along their asset management maturity journey tend to be the ones getting the most value from CBM, simply because the visibility and discipline it demands were already partly in place. For everyone else, the path forward is incremental: start with your most critical assets, build the monitoring habit, and let the maturity grow from there.
The organisations getting this right aren't chasing a maintenance trend. They're addressing a real cost that already sits on their books, whether it's visible or not. Unplanned downtime, premature part replacement, and emergency callouts all carry a price, and much of it is avoidable once maintenance is triggered by actual asset condition rather than a date on a calendar.
If you're still deciding which mix of reactive, preventive and predictive maintenance suits your portfolio, condition-based maintenance deserves a serious look, particularly for the assets where failure would cost you the most. Done well, it turns maintenance from a recurring expense into a genuine driver of asset performance and reliability.
Ready to bring your maintenance strategy into the 21st Century? FMI Works gives facilities teams the tools to connect condition monitoring data with work orders, asset histories, and performance reporting in one integrated platform. Book a demo today and see how purpose-built FM software helps you maintain assets smarter, not just more often.